The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinoma

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dc.contributor.authorFahmy, Dalia
dc.contributor.authorAlksas, Ahmed
dc.contributor.authorElnakib, Ahmed
dc.contributor.authorMahmoud, Ali
dc.contributor.authorKandil, Heba
dc.contributor.authorKhalil, Ashraf
dc.contributor.authorGhazal, Mohammed
dc.contributor.authorvan Bogaert, Eric
dc.contributor.authorContractor, Sohail
dc.contributor.authorEl-Baz, Ayman
dc.date.accessioned2023-05-04T06:01:41Z
dc.date.accessioned2023-08-19T08:47:42Z
dc.date.available2023-05-04T06:01:41Z
dc.date.available2023-08-19T08:47:42Z
dc.date.issued2022-12
dc.description.abstractHepatocellular carcinoma (HCC) is the most common primary hepatic neoplasm. Thanks to recent advances in computed tomography (CT) and magnetic resonance imaging (MRI), there is potential to improve detection, segmentation, discrimination from HCC mimics, and monitoring of therapeutic response. Radiomics, artificial intelligence (AI), and derived tools have already been applied in other areas of diagnostic imaging with promising results. In this review, we briefly discuss the current clinical applications of radiomics and AI in the detection, segmentation, and management of HCC. Moreover, we investigate their potential to reach a more accurate diagnosis of HCC and to guide proper treatment planning. Keywords : Computed tomography, Hepatocellular carcinoma , Treatment planning , Hepatic neoplasmen
dc.identifier.citationFahmy, D., Alksas, A., Elnakib, A., Mahmoud, A., Kandil, H., Khalil, A., ... & El-Baz, A. (2022). The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinoma. Cancers, 14(24), 6123.
dc.identifier.doihttps://doi.org/10.3390/cancers14246123
dc.identifier.urihttps://edms.wexl.in/handle/1/5073
dc.publisherMDPI
dc.titleThe Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinomaen_US
dc.typeOthers

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