A multimodal deep learning framework for precise silicosis detection on radiographic images.

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Bibliographic Details
Title: A multimodal deep learning framework for precise silicosis detection on radiographic images.
Authors: Sripada RNSVSC; Department of Computer Science and Engineering, Aditya University, Surampalem, AP, India., Varma PS; Department of Computer Science and Engineering, SRM University-AP, Amaravati, Andhra Pradesh, 522240, India., Lydia EL; Department of Computer Science and Engineering, Vignan's Institute of Engineering for Women, Visakhapatnam, Andhra Pradesh, 530046, India., Radhika K; Department of Artificial Intelligence and Data Science, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, 500075, India., Kang JM; Glocal University Project Group, Kyungsung University, Busan, Republic of Korea., Joshi GP; Department of Advanced AI Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea. joshi@kangwon.ac.kr., Yoon C; Laboratory of Autonomous Vehicle and Blockchain, Korean National Police University, Asan, Republic of Korea. bertter@police.ac.kr.
Source: Scientific reports [Sci Rep] 2026 Jun 22. Date of Electronic Publication: 2026 Jun 22.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-58980-3