Meraj, Syeda and Shah, Asadullah and Ismail, Ahsiah and Tengku Sembok, Tengku Mohd and Shadab, Syed and Aftab, Syed and Nageena, Syeda and Khan, Nusratullah and Nusratullah, Kajal (2024) Deep radiomics: a picture’s worth a thousand words - a review. In: 2024 IEIEEE 1 st Karachi Section Humanitarian Technology Conference (Khi-HTC), 8-9 January 2024, Tandojam, Pakistan.
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Abstract
Abstract—In recent decades, the prevalence of diseases has witnessed a notable surge. The increasing health challenges have led to a greater use of advanced diagnostic machines for detecting and understanding these disease conditions. The diagnostic modalities, such as X-rays, CT scans, MRI scans, and nuclear medicine imaging, generate a wealth of interpretative data through medical images. Deep Radiomics aims to improve the efficiency and accuracy of image interpretation by automating the process of feature extraction, allowing for more comprehensive insights for advancing personalized medicine and improving outcomes in medical imaging. Enhance disease detection, diagnosis, and subsequent treatment strategie
Item Type: | Proceeding Paper (Other) |
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Uncontrolled Keywords: | Radiomics, Computer Aided Detection (CADe) and Computer Aided Diagnosis (CADx), Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL). |
Subjects: | T Technology > T Technology (General) > T10.5 Communication of technical information |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System |
Depositing User: | Prof Asadullah Shah |
Date Deposited: | 12 Sep 2025 12:20 |
Last Modified: | 12 Sep 2025 12:20 |
URI: | http://irep.iium.edu.my/id/eprint/123200 |
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