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Deep radiomics: a picture’s worth a thousand words - a review

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)
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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