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Jang Mook Kang

As seen in: Nature, IAEME Publications
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Articles

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

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By E. Laxmi Lydia, K. T. P. Radhika, Jang Mook Kang, Gyanendra Prasad Joshi, Cheolhee Yoon, Ramesh N. S. V. S. C. Sripada, Pothuri Surendra Varma
| Nature Verified
Abstract Pneumoconiosis, a common occupational lung illness, arises from inhaling dust, with silicosis specifically caused by fine crystalline silica dust, leading to lung scarring and inflammation. The diagnosis of silicosis relies on routine monitoring, which includes physical examinations, medical history reviews, and imaging. Chest radiography is a common form of medical screening due to its affordability, efficiency, and suitability for routine use.
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INTERNATIONAL JOURNAL OF CIVIL ENGINEERING AND TECHNOLOGY (IJCIET) © IAEME Publication | https://iaeme.com/Home/journal/IJCIET

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By Dhaekyou KIM, Jang Mook Kang
| IAEME Publications
Articles Archive Subject Area Indexing Aims & Scope Editorial Board For Authors Publication Fees A STUDY ON ARTIFICIAL INTELLIGENCE ALGORITHM FOR DETERMINING FAKE NEWS CONTAINING FACTS AND VALUE ORIENTATION OF NEWS Dhaekyou KIM 1 ; Jang Mook Kang 2 * Article Id - IJCIET_09_11_181, Pages : 1847-1853, Date of Publication : 2018/11/22 10 Downloads 235 Views Google Scholar Link Academia Link Scopedatabase Link : https://sdbindex.com/Document/document_search?title=A STUDY ON ARTIFICIAL...
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