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A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis by Liew, Xin Yu (author);Hameed, Nazia (author);Clos, Jeremie (author) is a Medicine article available to read on EtoBox.

What is A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis about?

## Simple Summary Breast cancer is one of the most commonly diagnosed diseases in females around the world. The most threatening is when cancer spreads uncontrollably to other parts of the body and can cause death. Early detection of breast cancer lowers the risk of death among patients and enables appropriate treatments to control the progression of cancer. To diagnose breast cancer, high complex visuals of the breast tissue can be collected through histopathology images that provide informative details which validate the stage of the cancer. The aim of this study is to investigate techniques applied in histopathology images in diagnosing breast cancer. ## Abstract A computer-aided diagnosis (CAD) expert system is a powerful tool to efficiently assist a pathologist in achieving an early diagnosis of breast cancer. This process identifies the presence of cancer in breast tissue samples and the distinct type of cancer stages. In a standard CAD system, the main process involves image pre-processing, segmentation, feature extraction, feature selection, classification, and performance evaluation. In this review paper, we reviewed the existing state-of-the-art machine learning approache

Who reads A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis?

Author

Liew, Xin Yu (author);Hameed, Nazia (author);Clos, Jeremie (author)

Publisher

MDPI AG

Published

2021

Language

EN

Field

Medicine (Health Sciences)