Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes-Reference-Cited by-同舟云学术

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Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes

Published:2024-02-06 Issue:5 Volume:62 Page:1601-1613
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Pan Xiang,Wang Pei,Jia Shunyuan,Wang Yihang,Liu Yuan,Zhang Yan,Jiang Chunjuan

Funder

National Key R&D Program of China

the Postgraduate Research & Practice Innovation Program of Jiangsu Province

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Jiangsu Provincial Maternal and Child Health Research Project

Wuxi Health Commission Precision Medicine Project

Jiangsu Provincial Six Talent Peaks Project

the Science and Technology Development Fund, Macau SAR

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11517-024-03031-0.pdf

Reference47 articles.

1. Shu X, Zhang L, Wang Z et al (2020) Deep neural networks with region-based pooling structures for mammographic image classification. IEEE Trans Med Imaging 39:2246–2255. https://doi.org/10.1109/TMI.2020.2968397

2. Zhou Y, Chen H, Li Y et al (2021) Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images. Med Image Anal 70:101918. https://doi.org/10.1016/j.media.2020.101918

3. Bertucci F, Finetti P, Rougemont J et al (2005) Gene expression profiling identifies molecular subtypes of inflammatory breast cancer. Can Res 65:2170–2178. https://doi.org/10.1158/0008-5472.CAN-04-4115

4. Uddin MdN, Wang X (2022) Identification of breast cancer subtypes based on gene expression profiles in breast cancer stroma. Clin Breast Cancer 22:521–537. https://doi.org/10.1016/j.clbc.2022.04.001

5. Zhang Y, Chen J-H, Lin Y et al (2021) Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers. Eur Radiol 31:2559–2567. https://doi.org/10.1007/s00330-020-07274-x

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