Automated tumor segmentation in thermographic breast images
Identifying and delineating suspicious regions in thermal breast images poses significant challenges for radiologists during the examination and interpretation of thermogram images. This paper aims to tackle concerns related to enhancing the differentiation between cancerous regions and the backgrou...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-08-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023748?viewType=HTML |