Whole mammographic mass segmentation using attention mechanism and multiscale pooling adversarial network

Author:

Wang Yuehang1,Wang Shengsheng2,Chen Juan2,Wu Chun1

Affiliation:

1. Jilin University, College of Software, Changchun

2. Jilin University, College of Computer Science and Technology, Changchun

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology Nuclear Medicine and imaging

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Segmentation of Mammogram Images Using U-Net with Fusion of Channel and Spatial Attention Modules (U-Net CASAM);Lecture Notes in Networks and Systems;2024

2. Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches;Seminars in Cancer Biology;2023-11

3. Mix Transformer depth-wise separable convolution UNet for breast mass segmentation in mammographic;Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023);2023-10-17

4. Gated axial transformer network for mass segmentation in mammographic;Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023);2023-10-11

5. SCSGNet: Spatial-Correlated and Shape-Guided Network for Breast Mass Segmentation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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