Deep learning for breast cancer diagnosis: A bibliometric analysis and future research directions-Reference-Cited by-同舟云学术

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Deep learning for breast cancer diagnosis: A bibliometric analysis and future research directions

Published:2024-12 Issue: Volume:1 Page:100004
ISSN:2950-3639
Container-title:Computational and Structural Biotechnology Reports
language:en
Short-container-title:Computational and Structural Biotechnology Reports

Author:

Oladimeji Oladosu Oyebisi,Mcloughlin Ian,Unnikrishnan Saritha

Publisher

Elsevier BV

Reference36 articles.

1. International evaluation of an AI system for breast cancer screening;McKinney;Nature,2020

2. WHO, Breast Cancer, 2021. https://www.who.int/news-room/fact-sheets/detail/breast-cancer (accessed May 17, 2023).

3. Breast cancer radiation therapy: a bibliometric analysis of the scientific literature;Franco;Clin Transl Radiat Oncol,2023

4. Metastatic heterogeneity of breast cancer: Molecular mechanism and potential therapeutic targets;Liang;Semin Cancer Biol,2020

5. Detection of breast cancer with mammography: effect of an artificial intelligence support system;Rodríguez-Ruiz;Radiology,2019

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