A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography

Author:

Timp Sheila,Karssemeijer Nico

Publisher

Wiley

Subject

General Medicine

Reference18 articles.

Cited by 140 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. 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

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

3. Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer;Cancers;2023-10-02

4. Breast mass segmentation using mammographic data: a systematic review;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-06-14

5. ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images;Biomedical Signal Processing and Control;2022-01

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