Survey on deep learning in multimodal medical imaging for cancer detection-Reference-Cited by-同舟云学术

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Survey on deep learning in multimodal medical imaging for cancer detection

Published:2023-11-29 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Tian Yan,Xu Zhaocheng,Ma Yujun,Ding Weiping,Wang Ruili,Gao Zhihong,Cheng Guohua,He Linyang,Zhao Xuran

Funder

National Natural Science Foundation of China

Special Project for Basic Business Expenses of Zhejiang Provincial Colleges and Universities

Zhejiang Engineering Research Center of Intelligent Medicine

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-09214-4.pdf

Reference181 articles.

1. Cai D, Sun X, Zhou N, Han X, Yao J (2019) Efficient mitosis detection in breast cancer histology images by rcnn. In: International symposium on biomedical imaging, pp 919–922

2. Fatima M, Khan MA, Shaheen S, Almujally NA, Wang S-H (2023) B2c3netf2: breast cancer classification using an end-to-end deep learning feature fusion and satin bowerbird optimization controlled newton raphson feature selection. In: CAAI transactions on intelligence technology

3. Chaudhury S, Sau K, Khan MA, Shabaz M (2023) Deep transfer learning for idc breast cancer detection using fast ai technique and sqeezenet architecture. Math Biosci Eng 20(6):10404–10427

4. Polat K, Güneş S (2007) Breast cancer diagnosis using least square support vector machine. Digital Signal Process 17(4):694–701

5. Akay MF (2009) Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst Appl 36(2):3240–3247

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