Convolutional neural networks for the differentiation between benign and malignant renal tumors with a multicenter international computed tomography dataset

Autor: Michail E. Klontzas, Georgios Kalarakis, Emmanouil Koltsakis, Thomas Papathomas, Apostolos H. Karantanas, Antonios Tzortzakakis

Publikováno v: Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)

Abstract Objectives To use convolutional neural networks (CNNs) for the differentiation between benign and malignant renal tumors using contrast-enhanced CT images of a multi-institutional, multi-vendor, and multicenter CT dataset. Methods A total of

Externí odkaz: https://doaj.org/article/6f172f397d46474eb0dcbf940416073f

Cardiac Injuries: A Review of Multidetector Computed Tomography Findings

Autor: Ameya Baxi, Katre Rashmi, Michael J. McCarthy, Carlos S. Restrepo, Amy L Mumbower

Publikováno v: Trauma Monthly

Trauma is the leading cause of death in United States in the younger population. Cardiac trauma is common following blunt chest injuries and is associated with high morbidity and mortality. This study discusses various multidetector computed tomograp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a470ae907966a21b4757e27baecf19
https://doi.org/10.5812/traumamon.19086

Cardiac Injuries: A Review of Multidetector Computed Tomography Findings.

Autor: Baxi AJ; Department of Radiology, University of Texas Health Science Center, San Antonio, USA., Restrepo C; Department of Radiology, University of Texas Health Science Center, San Antonio, USA., Mumbower A; Department of Radiology, University of Texas Health Science Center, San Antonio, USA., McCarthy M; Department of Radiology, University of Texas Health Science Center, San Antonio, USA., Rashmi K; Department of Radiology, University of Texas Health Science Center, San Antonio, USA.

Publikováno v: Trauma monthly [Trauma Mon] 2015 Nov; Vol. 20 (4), pp. e19086. Date of Electronic Publication: 2015 Nov 23.