The usage of deep learning algorithm in medical diagnostic of breast cancer




Diagnosis, Deep learning algorithm, Breast cancer, Medical


Diagnosis is a crucial step to identify the disease that experienced by the patient. Diagnosis includes information gathering, integration, and interpretation. However, diagnosis process is not an easy task. Diagnostic accuracy is depending on the experience and cognitive ability of diagnosticians. The new algorithm called deep learning that is developed by simulating the human visual mechanism has been implemented in medical diagnostics. One of the diseases that can be diagnosed by using deep learning algorithm is the breast cancer. Several studies showed that deep learning algorithm can be used for detecting and classifying lesions, detecting mitosis, and predicting specific gene status.  In this review article, 16 research journals were reviewed and discussed. The limitations of each algorithm are provided. All of the journals showed that deep learning algorithm has high diagnostics accuracy in assisting the professional diagnosticians to determine diagnosis outcome accordingly.

Author Biography

Arli Aditya Parikesit, Indonesia International Institute for Life Sciences Jl. Pulomas Barat Kav.88 Jakarta 13210

Head of Bioinformatics Department

Indonesia International Institute for Life Sciences


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