Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images - 20/07/19
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Abstract |
Breast cancer is one of the common type of cancer in females across the world. An early detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To diagnose breast cancer, different types of imaging modalities are used to collect samples like mammography, Computerized Tomography, Magnetic Resonance Imaging, Ultrasound and Biopsy. Histopathological images obtained from biopsy may influence how and at which stage the cancer is being diagnosed. The Computer Assisted Diagnosis (CAD) system helps the pathologists in early diagnosis of breast cancer. In this survey, the recently reported techniques for breast cancer diagnosis using histopathological images have been summarized. This study could be beneficial for: (i) Clinicians to receive second opinion from the CAD system for early diagnosis, and (ii) Researchers to analyze and enhance the existing state-of-art techniques used in CAD system, which may further reduce the gap of variability between intra and inter observer.
Le texte complet de cet article est disponible en PDF.Graphical abstract |
Highlights |
• | Review of state-of-art computer assisted diagnosis (CAD) system for breast cancer. |
• | Explicit categorization and remarks of techniques reported over the past 10 years. |
• | Major recent trend analysis for segmentation and classification phase. |
• | Provides current status and future scope of CAD system in histopathology images. |
• | Useful for clinicians to get second opinion from CAD system for early diagnosis. |
Keywords : Breast cancer, Benign and malignant classification, Computer-assisted diagnosis, Histopathology, Image segmentation
Plan
Vol 40 - N° 4
P. 211-227 - août 2019 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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