» Articles » PMID: 19171527

Computer-aided Detection and Diagnosis of Breast Cancer with Mammography: Recent Advances

Overview
Date 2009 Jan 28
PMID 19171527
Citations 75
Authors
Affiliations
Soon will be listed here.
Abstract

Breast cancer is the second-most common and leading cause of cancer death among women. It has become a major health issue in the world over the past 50 years, and its incidence has increased in recent years. Early detection is an effective way to diagnose and manage breast cancer. Computer-aided detection or diagnosis (CAD) systems can play a key role in the early detection of breast cancer and can reduce the death rate among women with breast cancer. The purpose of this paper is to provide an overview of recent advances in the development of CAD systems and related techniques. We begin with a brief introduction to some basic concepts related to breast cancer detection and diagnosis. We then focus on key CAD techniques developed recently for breast cancer, including detection of calcifications, detection of masses, detection of architectural distortion, detection of bilateral asymmetry, image enhancement, and image retrieval.

Citing Articles

Deep-Learning-Based Approach in Cancer-Region Assessment from HER2-SISH Breast Histopathology Whole Slide Images.

Rehman Z, Fauzi M, Wan Ahmad W, Abas F, Cheah P, Chiew S Cancers (Basel). 2024; 16(22).

PMID: 39594748 PMC: 11593209. DOI: 10.3390/cancers16223794.


An Integrated Multimodal-Based CAD System for Breast Cancer Diagnosis.

Sunba A, AlShammari M, Almuhanna A, Alkhnbashi O Cancers (Basel). 2024; 16(22).

PMID: 39594696 PMC: 11591763. DOI: 10.3390/cancers16223740.


TabDEG: Classifying differentially expressed genes from RNA-seq data based on feature extraction and deep learning framework.

Feng S, Wang Z, Jin Y, Xu S PLoS One. 2024; 19(7):e0305857.

PMID: 39037985 PMC: 11262683. DOI: 10.1371/journal.pone.0305857.


Biomarkers in Cancer Detection, Diagnosis, and Prognosis.

Das S, Dey M, Devireddy R, Gartia M Sensors (Basel). 2024; 24(1).

PMID: 38202898 PMC: 10780704. DOI: 10.3390/s24010037.


Public health implications of computer-aided diagnosis and treatment technologies in breast cancer care.

Cheng K, Wang J, Liu J, Zhang X, Shen Y, Su H AIMS Public Health. 2024; 10(4):867-895.

PMID: 38187901 PMC: 10764974. DOI: 10.3934/publichealth.2023057.