CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images-Reference-Cited by-同舟云学术

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CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images

Published:2023-03 Issue: Volume:213 Page:119024
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yang Haonan^ORCID,Yang Dapeng^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Dataset of breast ultrasound images;Al-Dhabyani;Data in Brief,2019

2. Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review;Bai;Medical Image Analysis,2021

3. Time to surgery and breast cancer survival in the United States;Bleicher;JAMA Oncology,2015

4. Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification;Brandt,2021

5. Swin-unet: Unet-like pure transformer for medical image segmentation;Cao,2021

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