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标题/作者年份
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
U-net and its variants for medical image segmentation: A review of theory and applications
N Siddique, S Paheding, CP Elkin, V Devabhaktuni
Ieee Access 9, 82031-82057
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
Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images
A Oulefki, S Agaian, T Trongtirakul, AK Laouar
Pattern recognition 114, 107747
2021
An RDAU-NET model for lesion segmentation in breast ultrasound images
Z Zhuang, N Li, AN Joseph Raj, VGV Mahesh, S Qiu
PloS one 14 (8), e0221535
2019
Towards complete and accurate iris segmentation using deep multi-task attention network for non-cooperative iris recognition
C Wang, J Muhammad, Y Wang, Z He, Z Sun
IEEE Transactions on information forensics and security 15, 2944-2959
2020
Attention guided U-Net with atrous convolution for accurate retinal vessels segmentation
Y Lv, H Ma, J Li, S Liu
IEEE Access 8, 32826-32839
2020
U-Net and its variants for medical image segmentation: theory and applications
N Siddique, P Sidike, C Elkin, V Devabhaktuni
arXiv preprint arXiv:2011.01118
2020
Fast and efficient retinal blood vessel segmentation method based on deep learning network
H Boudegga, Y Elloumi, M Akil, MH Bedoui, R Kachouri, AB Abdallah
Computerized Medical Imaging and Graphics 90, 101902
2021
A global and local enhanced residual u-net for accurate retinal vessel segmentation
S Lian, L Li, G Lian, X Xiao, Z Luo, S Li
IEEE/ACM transactions on computational biology and bioinformatics 18 (3 …
2019
Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning
C Zeng, Y Nan, F Xu, Q Lei, F Li, T Chen, S Liang, X Hou, B Lv, D Liang, ...
The Journal of pathology 252 (1), 53-64
2020
Cloud detection for satellite imagery using attention-based U-Net convolutional neural network
Y Guo, X Cao, B Liu, M Gao
Symmetry 12 (6), 1056
2020
Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement
T Wan, L Zhao, H Feng, D Li, C Tong, Z Qin
Neurocomputing 408, 144-156
2020
Deep learning‐based single‐cell optical image studies
J Sun, A Tárnok, X Su
Cytometry Part A 97 (3), 226-240
2020
A method for segmentation of tumors in breast ultrasound images using the variant enhanced deep learning
AE Ilesanmi, U Chaumrattanakul, SS Makhanov
Biocybernetics and Biomedical Engineering 41 (2), 802-818
2021
Robust iris segmentation algorithm in non-cooperative environments using interleaved residual U-Net
YH Li, WR Putri, MS Aslam, CC Chang
Sensors 21 (4), 1434
2021
Iris segmentation using interactive deep learning
M Sardar, S Banerjee, S Mitra
IEEE Access 8, 219322-219330
2020
Fish species recognition using an improved AlexNet model
Z Ju, Y Xue
Optik 223, 165499
2020
Polar coordinate sampling-based segmentation of overlapping cervical cells using attention U-Net and random walk
H Zhang, H Zhu, X Ling
Neurocomputing 383, 212-223
2020
Maceral groups analysis of coal based on semantic segmentation of photomicrographs via the improved U-net
M Lei, Z Rao, H Wang, Y Chen, L Zou, H Yu
Fuel 294, 120475
2021
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