Enhancing Breast Cancer Detection Through Optimized Thermal Image Analysis Using PRMS-Net Deep Learning Approach.

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Bibliographic Details
Title: Enhancing Breast Cancer Detection Through Optimized Thermal Image Analysis Using PRMS-Net Deep Learning Approach.
Authors: Khan M; Department of Computer Science, College of Computer Science, Applied College Tanumah, King Khalid University, P.O. Box: 960, 61421, Abha, Saudi Arabia.; Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia., Su'ud MM; Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia. mazliham@mmu.edu.my., Alam MM; Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia.; Faculty of Computing, Riphah International University, Islamabad, 44000, Pakistan., Karimullah S; Department of Electronics and Communications Engineering, Annamacharya University, Rajampet, Kadapa, Andhra Pradesh, India, 516126., Shaik F; Department of Electronics and Communications Engineering, Annamacharya University, Rajampet, Kadapa, Andhra Pradesh, India, 516126., Subhan F; Faculty of Engineering and Computer Science, National University of Modern Languages, Islamabad, 44000, Pakistan.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Feb; Vol. 39 (1), pp. 864-883. Date of Electronic Publication: 2025 May 06.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2948-2933
DOI:10.1007/s10278-025-01465-y