Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images

Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images

Automatic segmentation of nuclei on breast cancer histology images is a basic and important step for diagnosis in a computer-aided diagnostic approach and helps pathologists discover cancer early. Nuclei segmentation remains a challenging problem due to cancer biology and the variability of tissue c...

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Bibliographic Details
Main Authors: Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Bioengineering
Subjects:
data augmentation
stain normalization technique
active contours segmentation
deep learning
Online Access:https://www.mdpi.com/2306-5354/12/6/642
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