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本月IEEE Transactions on Medical Imaging(1区 top if 11.037) 共32篇, Medical Image Analysis（1区 top if 13.828） 共30篇.

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标题高频词汇

('segmentation', 13),  ('brain', 9),  ('mri', 6), ('graph', 4)('attention', 4), ('3d', 4), ('contrastive', 4), ('neural', 3), ('method', 3), ('instance', 3), ('tomography', 3), ('prediction', 3), ('self-supervised', 3), ('representation', 3), ('detection', 3), ('data', 3), ('convolutional', 3), ('feature', 3), ('shape', 3), ('multi-scale', 3)

值得关注的论文

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images

MOOD 2020：医学图像分布外检测和定位的公共基准

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images

ADAM 挑战：从眼底图像检测年龄相关性黄斑变性

16. A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries

一种基于变换器的神经语言模型，可从自由格式的文本查询中合成大脑激活图

TMI 202210论文速递

1. Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI

通过纵向 MRI 的弱监督将正常衰老与疾病严重程度区分

Jiahong Ouyang;Qingyu Zhao;Ehsan Adeli;Greg Zaharchuk;Kilian M. Pohl

原文链接：https://ieeexplore.ieee.org/document/9754514/

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2. Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging

使用神经结构搜索和多模态成像进行术中神经胶质瘤分级

Anqi Xiao;Biluo Shen;Xiaojing Shi;Zhe Zhang;Zeyu Zhang;Jie Tian;Nan Ji;Zhenhua Hu

原文链接：https://ieeexplore.ieee.org/document/9754565/

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3. H-EMD: A Hierarchical Earth Mover’s Distance Method for Instance Segmentation

H-EMD：一种用于实例分割的分层地球移动器距离方法

Peixian Liang;Yizhe Zhang;Yifan Ding;Jianxu Chen;Chinedu S. Madukoma;Tim Weninger;Joshua D. Shrout;Danny Z. Chen

原文链接：https://ieeexplore.ieee.org/document/9761163/

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4. ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis

ResViT：用于多模态医学图像合成的残留视觉转换器

Onat Dalmaz;Mahmut Yurt;Tolga Çukur

原文链接：https://ieeexplore.ieee.org/document/9758823/

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5. Deep-Learning-Based Fast Optical Coherence Tomography (OCT) Image Denoising for Smart Laser Osteotomy

用于智能激光截骨术的基于深度学习的快速光学相干断层扫描 (OCT) 图像去噪

Yakub A. Bayhaqi;Arsham Hamidi;Ferda Canbaz;Alexander A. Navarini;Philippe C. Cattin;Azhar Zam

原文链接：https://ieeexplore.ieee.org/document/9760477/

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6. Self-Training Strategy Based on Finite Element Method for Adaptive Bioluminescence Tomography Reconstruction

基于有限元方法的自适应生物发光层析重建自训练策略

Xuanxuan Zhang;Xu Cao;Peng Zhang;Fan Song;Jiulou Zhang;Lin Zhang;Guanglei Zhang

原文链接：https://ieeexplore.ieee.org/document/9758813/

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7. Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma

用于预测肝细胞癌大血管浸润的先验知识感知融合网络

Haoran Lai;Sirui Fu;Jie Zhang;Jianyun Cao;Qianjin Feng;Ligong Lu;Meiyan Huang

原文链接：https://ieeexplore.ieee.org/document/9758737/

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8. SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

SAM：放射图像中逐像素解剖嵌入的自监督学习

Ke Yan;Jinzheng Cai;Dakai Jin;Shun Miao;Dazhou Guo;Adam P. Harrison;Youbao Tang;Jing Xiao;Jingjing Lu;Le Lu

原文链接：https://ieeexplore.ieee.org/document/9760421/

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9. Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping

使用局部拓扑连接映射的人脑功能分割

Yu Zhao;Yurui Gao;Muwei Li;Adam W. Anderson;Zhaohua Ding;John C. Gore

原文链接：https://ieeexplore.ieee.org/document/9760450/

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10. Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes

MR-STAT 的加速策略：在 3 分钟内在台式 PC 上实现高分辨率重建

Hongyan Liu;Oscar van der Heide;Stefano Mandija;Cornelis A. T. van den Berg;Alessandro Sbrizzi

原文链接：https://ieeexplore.ieee.org/document/9759308/

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11. Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR)

使用深度双线性无监督表示 (DEBLUR) 的动态成像

Abdul Haseeb Ahmed;Qing Zou;Prashant Nagpal;Mathews Jacob

原文链接：https://ieeexplore.ieee.org/document/9759446/

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12. Three-Dimensional Deep-Tissue Functional and Molecular Imaging by Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT)

集成光声、超声和血管断层扫描 (PAUSAT) 的三维深层组织功能和分子成像

Mucong Li;Nathan Beaumont;Chenshuo Ma;Juan Rojas;Tri Vu;Max Harlacher;Graeme O’Connell;Ryan C. Gessner;Hailey Kilian;Ludmila A. Kasatkina;Yong Chen;Qiang Huang;Xiling Shen;Jonathan F. Lovell;Vladislav V. Verkhusha;Tomek Czernuszewicz;Junjie Yao

原文链接：https://ieeexplore.ieee.org/document/9760438/

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13. CAR-Net: A Deep Learning-Based Deformation Model for 3D/2D Coronary Artery Registration

CAR-Net：用于 3D/2D 冠状动脉配准的基于深度学习的变形模型

Wei Wu;Jingyang Zhang;Wenjia Peng;Hongzhi Xie;Shuyang Zhang;Lixu Gu

原文链接：https://ieeexplore.ieee.org/document/9759389/

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14. MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images

MOOD 2020：医学图像分布外检测和定位的公共基准

David Zimmerer;Peter M. Full;Fabian Isensee;Paul Jäger;Tim Adler;Jens Petersen;Gregor Köhler;Tobias Ross;Annika Reinke;Antanas Kascenas;Bjørn Sand Jensen;Alison Q. O’Neil;Jeremy Tan;Benjamin Hou;James Batten;Huaqi Qiu;Bernhard Kainz;Nina Shvetsova;Irina Fedulova;Dmitry V. Dylov;Baolun Yu;Jianyang Zhai;Jingtao Hu;Runxuan Si;Sihang Zhou;Siqi Wang;Xinyang Li;Xuerun Chen;Yang Zhao;Sergio Naval Marimont;Giacomo Tarroni;Victor Saase;Lena Maier-Hein;Klaus Maier-Hein

原文链接：https://ieeexplore.ieee.org/document/9762702/

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15. SPHARM-Net: Spherical Harmonics-Based Convolution for Cortical Parcellation

SPHARM-Net：用于皮层分割的基于球谐函数的卷积

Seungbo Ha;Ilwoo Lyu

原文链接：https://ieeexplore.ieee.org/document/9759394/

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16. Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network

使用几何注意神经网络学习进化流形功能 MRI 数据的大脑动力学

Tingting Dan;Zhuobin Huang;Hongmin Cai;Paul J. Laurienti;Guorong Wu

原文链接：https://ieeexplore.ieee.org/document/9761822/

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17. Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction

基于脑连接的图卷积网络及其在婴儿年龄预测中的应用

Yu Li;Xin Zhang;Jingxin Nie;Guowei Zhang;Ruiyan Fang;Xiangmin Xu;Zhengwang Wu;Dan Hu;Li Wang;Han Zhang;Weili Lin;Gang Li

原文链接：https://ieeexplore.ieee.org/document/9766117/

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18. Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer

使用 Transformer 引导的多实例学习和知识转移从整个幻灯片图像预测淋巴结转移

Zhihua Wang;Lequan Yu;Xin Ding;Xuehong Liao;Liansheng Wang

原文链接：https://ieeexplore.ieee.org/document/9765508/

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19. Joint Progressive and Coarse-to-Fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion

通过变形场集成和非刚性特征融合对脑 MRI 进行联合渐进和粗到细配准

Jinxin Lv;Zhiwei Wang;Hongkuan Shi;Haobo Zhang;Sheng Wang;Yilang Wang;Qiang Li

原文链接：https://ieeexplore.ieee.org/document/9765391/

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20. Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach

完全基于变压器的自动射线照相报告生成：一种多标准监督方法

Zhanyu Wang;Hongwei Han;Lei Wang;Xiu Li;Luping Zhou

原文链接：https://ieeexplore.ieee.org/document/9768661/

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21. Diffusion Kernel Attention Network for Brain Disorder Classification

用于脑部疾病分类的扩散核注意网络

Jianjia Zhang;Luping Zhou;Lei Wang;Mengting Liu;Dinggang Shen

原文链接：https://ieeexplore.ieee.org/document/9763540/

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22. ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images

ADAM 挑战：从眼底图像检测年龄相关性黄斑变性

Huihui Fang;Fei Li;Huazhu Fu;Xu Sun;Xingxing Cao;Fengbin Lin;Jaemin Son;Sunho Kim;Gwenole Quellec;Sarah Matta;Sharath M. Shankaranarayana;Yi-Ting Chen;Chuen-Heng Wang;Nisarg A. Shah;Chia-Yen Lee;Chih-Chung Hsu;Hai Xie;Baiying Lei;Ujjwal Baid;Shubham Innani;Kang Dang;Wenxiu Shi;Ravi Kamble;Nitin Singhal;Ching-Wei Wang;Shih-Chang Lo;José Ignacio Orlando;Hrvoje Bogunović;Xiulan Zhang;Yanwu Xu

原文链接：https://ieeexplore.ieee.org/document/9768802/

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23. Positronium Lifetime Image Reconstruction for TOF PET

TOF PET 的正电子寿命图像重建

Jinyi Qi;Bangyan Huang

原文链接：https://ieeexplore.ieee.org/document/9777916/

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24. Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning

使用 3D Mask R-CNN 和局部依赖学习在 CBCT 图像上定位颅颌面标志

Yankun Lang;Chunfeng Lian;Deqiang Xiao;Hannah Deng;Kim-Han Thung;Peng Yuan;Jaime Gateno;Tianshu Kuang;David M. Alfi;Li Wang;Dinggang Shen;James J. Xia;Pew-Thian Yap

原文链接：https://ieeexplore.ieee.org/document/9772618/

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25. Echocardiography Segmentation With Enforced Temporal Consistency

具有强制时间一致性的超声心动图分割

Nathan Painchaud;Nicolas Duchateau;Olivier Bernard;Pierre-Marc Jodoin

原文链接：https://ieeexplore.ieee.org/document/9771186/

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26. Fully-Automated Spike Detection and Dipole Analysis of Epileptic MEG Using Deep Learning

使用深度学习对癫痫 MEG 进行全自动尖峰检测和偶极子分析

Ryoji Hirano;Takuto Emura;Otoichi Nakata;Toshiharu Nakashima;Miyako Asai;Kuriko Kagitani-Shimono;Haruhiko Kishima;Masayuki Hirata

原文链接：https://ieeexplore.ieee.org/document/9772048/

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27. Functional Brain Network Classification Based on Deep Graph Hashing Learning

基于深度图哈希学习的功能性脑网络分类

Junzhong Ji;Yaqin Zhang

原文链接：https://ieeexplore.ieee.org/document/9770779/

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28. Universal Real-Time Adaptive Signal Compression for High-Frame-Rate Optoacoustic Tomography

用于高帧率光声层析成像的通用实时自适应信号压缩

Ali Özbek;Xosé Luís Deán-Ben;Daniel Razansky

原文链接：https://ieeexplore.ieee.org/document/9778277/

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29. Sam’s Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT

Sam's Net：一种用于有限角度 CT 端到端重建的自增强多级深度学习网络

Changyu Chen;Yuxiang Xing;Hewei Gao;Li Zhang;Zhiqiang Chen

原文链接：https://ieeexplore.ieee.org/document/9775696/

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30. PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers

PTNet3D：基于变压器的 3D 高分辨率纵向婴儿大脑 MRI 合成器

Xuzhe Zhang;Xinzi He;Jia Guo;Nabil Ettehadi;Natalie Aw;David Semanek;Jonathan Posner;Andrew Laine;Yun Wang

原文链接：https://ieeexplore.ieee.org/document/9774943/

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31. Volumetric Fetal Flow Imaging With Magnetic Resonance Imaging

体积胎儿流量成像与磁共振成像

Datta Singh Goolaub;Jiawei Xu;Eric M. Schrauben;Davide Marini;John C. Kingdom;John G. Sled;Mike Seed;Christopher K. Macgowan

原文链接：https://ieeexplore.ieee.org/document/9779724/

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32. D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities

D2-Net：用于缺少模态的脑肿瘤分割的双重解缠结网络

Qiushi Yang;Xiaoqing Guo;Zhen Chen;Peter Y. M. Woo;Yixuan Yuan

原文链接：https://ieeexplore.ieee.org/document/9775681/

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MIA 202210论文速递

1. Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

晚期gadolinium增强 MRI 的心脏分割：来自多序列心脏 MR 分割挑战的基准研究

Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, ... Lei Li

原文链接：https://www.sciencedirect.com/science/article/pii/S136184152200175X

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2. Object recognition in medical images via anatomy-guided deep learning

通过解剖学引导的深度学习在医学图像中进行对象识别

Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, ... Drew A. Torigian

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001748

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3. Mutual consistency learning for semi-supervised medical image segmentation

半监督医学图像分割的互一致性学习

Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, ... Jianfei Cai

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001773

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4. Anomaly segmentation in retinal images with poisson-blending data augmentation

泊松混合数据增强的视网膜图像异常分割

Hualin Wang, Yuhong Zhou, Jiong Zhang, Jianqin Lei, ... Xiayu Xu

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001815

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5. Estimating medical image registration error and confidence: A taxonomy and scoping review

估计医学图像配准误差和置信度：分类和范围界定审查

Joshua Bierbrier, Houssem-Eddine Gueziri, D. Louis Collins

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001785

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6. Deep learning solution for medical image localization and orientation detection

医学图像定位和方向检测的深度学习解决方案

Yu Zhao, Ke Zeng, Yiyuan Zhao, Parmeet Bhatia, ... Gerardo Hermosillo

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001761

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7. LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint

LMISA：一种轻量级多模态图像分割网络，通过使用梯度大小和形状约束的域自适应

Mina Jafari, Susan Francis, Jonathan M. Garibaldi, Xin Chen

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001839

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8. Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors

具有稀疏注释的心脏 MRI 分割：集成深度学习不确定性和形状先验

Fumin Guo, Matthew Ng, Grey Kuling, Graham Wright

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001797

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9. Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images

使用临床和皮肤镜图像进行皮肤病变分类的对抗性多模态融合与注意机制

Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, ... Liangli Zhen

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001827

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10. An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders

用于分类神经精神疾病的增强型多模式脑图网络

Liangliang Liu, Yu-Ping Wang, Yi Wang, Pei Zhang, Shufeng Xiong

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001979

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11. Conditional GANs based system for fibrosis detection and quantification in Hematoxylin and Eosin whole slide images

基于条件 GAN 的Hematoxylin and Eosin 全玻片图像纤维化检测和量化系统

Ahmed Naglah, Fahmi Khalifa, Ayman El-Baz, Dibson Gondim

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001840

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12. EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data

EmbedSeg：基于嵌入的生物医学显微镜数据实例分割

Manan Lalit, Pavel Tomancak, Florian Jug

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001700

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13. Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction

用于加速非笛卡尔 MRI 重建的双域自监督学习

Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, ... Michal Sofka

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001852

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14. Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

形状约束 CNN 用于心脏 MRI 中心肌形状和姿态参数的分段引导预测

Sofie Tilborghs, Jan Bogaert, Frederik Maes

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001803

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15. CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images

CS-CO：一种用于 H&E 染色组织病理学图像的混合自监督视觉表示学习方法

Pengshuai Yang, Xiaoxu Yin, Haiming Lu, Zhongliang Hu, ... Hairong Lv

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001864

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16. A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries

一种基于变换器的神经语言模型，可从自由格式的文本查询中合成大脑激活图

Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001876

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17. Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding

使用切片交错编码的快速扩散磁共振成像

Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, ... Pew-Thian Yap

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001955

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18. Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI

任务相关性驱动的对抗性学习，通过整合多模态 MRI 对肝细胞癌进行同步检测、大小分级和量化

Xiaojiao Xiao, Jianfeng Zhao, Shuo Li

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002018

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19. A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements

用于评估帕金森手部运动的对比学习的树结构引导图卷积网络

Rui Guo, Hao Li, Chencheng Zhang, Xiaohua Qian

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002055

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20. Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length

通过优化 Dice 分数和跟踪边界长度对生物医学图像堆栈进行建议性分割的深度主动学习

Alessia Atzeni, Loic Peter, Eleanor Robinson, Emily Blackburn, ... Juan Eugenio Iglesias

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001967

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21. Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image

用于基于深度学习的医学图像的可解释性引导归纳偏差

Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001980

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22. C-arm positioning for standard projections during spinal implant placement

脊柱植入物植入期间用于标准投影的 C 形臂定位

Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, ... Klaus Maier-Hein

原文链接：https://www.sciencedirect.com/science/article/pii/S136184152200202X

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23. Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT

头部 CT 中颅内出血识别借口之间一致性损失的多任务表示学习的改进性能和鲁棒性

Sunggu Kyung, Keewon Shin, Hyunsu Jeong, Ki Duk Kim, ... Namkug Kim

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522001360

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24. Transformer-based unsupervised contrastive learning for histopathological image classification

基于 Transformer 的无监督对比学习用于组织病理学图像分类

Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, ... Xiao Han

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002043

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25. Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion

使用注意力和多尺度特征融合的手术器械实时实例分割

Juan Carlos Ángeles Cerón, Gilberto Ochoa Ruiz, Leonardo Chang, Sharib Ali

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002109

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26. Cervical cytopathology image refocusing via multi-scale attention features and domain normalization

通过多尺度注意特征和域归一化进行宫颈细胞病理学图像重新聚焦

Xiebo Geng, Xiuli Liu, Shenghua Cheng, Shaoqun Zeng

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002080

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27. Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation

用于 3D 腰椎解剖分割的具有弱特征增强的灰度自调整网络

Jinhua Liu, Zhiming Cui, Christian Desrosiers, Shuyi Lu, Yuanfeng Zhou

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002092

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28. Distributed contrastive learning for medical image segmentation

用于医学图像分割的分布式对比学习

Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002079

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29. Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors

通过多尺度对比正则化和多关节解剖先验对稀疏儿科成像数据集进行泛化多任务、多域深度分割

Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar

原文链接：https://www.sciencedirect.com/science/article/pii/S1361841522002031

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30. STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation

STAMP：医学图像分割中低数据状态的同步训练和模型修剪

Nicola K. Dinsdale, Mark Jenkinson, Ana I.L. Namburete

原文链接：https://www.sciencedirect.com/science/article/pii/S136184152200221