reviewDiagnosticsJan 3, 2023GOLD OA

Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction

Universiti Sains Malaysia

PubMed
Indexed incrossrefdoajpubmed

Abstract

Breast cancer is one of the precarious conditions that affect women, and a substantive cure has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep learning techniques have been used effectively in breast cancer detection, facilitating early diagnosis and therefore increasing the chances of patients' survival. Compared to classical machine learning techniques, deep learning requires less human intervention for similar feature extraction. This study presents a systematic literature review on the deep learning-based methods for breast cancer detection that can guide practitioners and researchers in understanding the challenges and new trends in the field. Particularly,…

Citation impact

209
total citations
FWCI
34.46
Percentile
100%
References
138
Citations per year

Authors

2

Topics & keywords

Keywords
  • Deep learning
  • Artificial intelligence
  • Breast cancer
  • Machine learning
  • Computer science
  • Systematic review
  • Convolutional neural network
  • Cancer
UN Sustainable Development Goals
  • Good health and well-being
No related works found for this paper.

Funding