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...

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Bibliographic Details
Main Authors: Thaweesak Trongtirakul, Sos Agaian, Adel Oulefki
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023748?viewType=HTML