Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12660, first published .
Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review

Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review

Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review

Authors of this article:

Rafia Masud 1 Author Orcid Image ;   Mona Al-Rei 1 Author Orcid Image ;   Cynthia Lokker 1 Author Orcid Image

Journals

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  6. Kumar P, Kumar A, Srivastava S, Padma Sai Y. A novel bi-modal extended Huber loss function based refined mask RCNN approach for automatic multi instance detection and localization of breast cancer. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2022;236(7):1036 View
  7. Suradi S, Abdullah K, Isa N. Automated Classification of Breast Cancer Lesions for Digitised Mammograms via Computer-Aided Diagnosis System. Journal of Applied Science & Process Engineering 2021;8(2):892 View
  8. Guo Z, Xie J, Wan Y, Zhang M, Qiao L, Yu J, Chen S, Li B, Yao Y. A review of the current state of the computer-aided diagnosis (CAD) systems for breast cancer diagnosis. Open Life Sciences 2022;17(1):1600 View
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  11. Patel K, Huang S, Rashid A, Varghese B, Gholamrezanezhad A. A Narrative Review of the Use of Artificial Intelligence in Breast, Lung, and Prostate Cancer. Life 2023;13(10):2011 View
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Books/Policy Documents

  1. Gadde S. Holistic Approach to Breast Disease. View