标题/作者	年份
Image segmentation using deep learning: A survey S Minaee, Y Boykov, F Porikli, A Plaza, N Kehtarnavaz, D Terzopoulos IEEE transactions on pattern analysis and machine intelligence 44 (7), 3523-3542	2021
Unet++: Redesigning skip connections to exploit multiscale features in image segmentation Z Zhou, MMR Siddiquee, N Tajbakhsh, J Liang IEEE transactions on medical imaging 39 (6), 1856-1867	2019
Inf-net: Automatic covid-19 lung infection segmentation from ct images DP Fan, T Zhou, GP Ji, Y Zhou, G Chen, H Fu, J Shen, L Shao IEEE transactions on medical imaging 39 (8), 2626-2637	2020
Deep semantic segmentation of natural and medical images: a review S Asgari Taghanaki, K Abhishek, JP Cohen, J Cohen-Adad, G Hamarneh Artificial Intelligence Review 54, 137-178	2021
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises SK Zhou, H Greenspan, C Davatzikos, JS Duncan, B Van Ginneken, ... Proceedings of the IEEE 109 (5), 820-838	2021
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis D Karimi, H Dou, SK Warfield, A Gholipour Medical image analysis 65, 101759	2020
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey S Bhattacharya, PKR Maddikunta, QV Pham, TR Gadekallu, ... Sustainable cities and society 65, 102589	2021
A survey on active learning and human-in-the-loop deep learning for medical image analysis S Budd, EC Robinson, B Kainz Medical Image Analysis 71, 102062	2021
COVID-19 open source data sets: a comprehensive survey J Shuja, E Alanazi, W Alasmary, A Alashaikh Applied Intelligence 51, 1296-1325	2021
UTNet: a hybrid transformer architecture for medical image segmentation Y Gao, M Zhou, DN Metaxas Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …	2021
Medical image segmentation using deep learning: A survey R Wang, T Lei, R Cui, B Zhang, H Meng, AK Nandi IET Image Processing 16 (5), 1243-1267	2022
Abdomenct-1k: Is abdominal organ segmentation a solved problem? J Ma, Y Zhang, S Gu, C Zhu, C Ge, Y Zhang, X An, C Wang, Q Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6695 …	2021
Anam-Net: Anamorphic depth embedding-based lightweight CNN for segmentation of anomalies in COVID-19 chest CT images N Paluru, A Dayal, HB Jenssen, T Sakinis, LR Cenkeramaddi, J Prakash, ... IEEE Transactions on Neural Networks and Learning Systems 32 (3), 932-946	2021
Deep learning for biomedical photoacoustic imaging: A review J Gröhl, M Schellenberg, K Dreher, L Maier-Hein Photoacoustics 22, 100241	2021
Recent advances and clinical applications of deep learning in medical image analysis X Chen, X Wang, K Zhang, KM Fung, TC Thai, K Moore, RS Mannel, H Liu, ... Medical Image Analysis 79, 102444	2022
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset A Signoroni, M Savardi, S Benini, N Adami, R Leonardi, P Gibellini, ... Medical Image Analysis 71, 102046	2021
Multimodal self-supervised learning for medical image analysis A Taleb, C Lippert, T Klein, M Nabi International conference on information processing in medical imaging, 661-673	2021
Weakly supervised segmentation of COVID19 infection with scribble annotation on CT images X Liu, Q Yuan, Y Gao, K He, S Wang, X Tang, J Tang, D Shen Pattern recognition 122, 108341	2022
Transfer learning in breast cancer diagnoses via ultrasound imaging G Ayana, K Dese, S Choe Cancers 13 (4), 738	2021
Realistic adversarial data augmentation for MR image segmentation C Chen, C Qin, H Qiu, C Ouyang, S Wang, L Chen, G Tarroni, W Bai, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …	2020

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