Radiomics reproducibility challenge in computed tomography imaging as a nuisance to clinical generalization: a mini-review

Autor: Amirreza Jahanshahi, Yunus Soleymani, Mona Fazel Ghaziani, Davood Khezerloo

Publikováno v: The Egyptian Journal of Radiology and Nuclear Medicine, Vol 54, Iss 1, Pp 1-12 (2023)

Abstract Background Radiomics has demonstrated striking potential in accurate cancer diagnosis but still needs strengthening of validity and standardization to achieve reproducible and generalizable results. Despite the advantages of radiomics, inter

Externí odkaz: https://doaj.org/article/34052e0a5cef48148c555ecee4a76173

Development and validation of in vivo ultrasound time-harmonic elastography of the human brain towards clinical application

Autor: Kreft, Bernhard

Motivation: In neurology, the determination of intracranial pressure (ICP) is of central importance for the diagnosis of brain damage. However, reliable ICP measurements are realized by invasive techniques such as lumbar puncture or surgically implan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddad0f24497b773bdee470e6573d6005
https://refubium.fu-berlin.de/handle/fub188/38012

A novel framework for MR image segmentation and quantification by using MedGA

Autor: Leonardo Rundo a, b, c, d, Andrea Tangherloni 1 a, e, f, Paolo Cazzaniga g, h, Marco S. Nobile a, Giorgio Russo b, Maria Carla Gilardi b, Salvatore Vitabile i, Giancarlo Mauri a, Daniela Besozzi a, Carmelo Militello b

Publikováno v: Computer methods and programs in biomedicine
176 (2019): 159–172. doi:10.1016/j.cmpb.2019.04.016
info:cnr-pdr/source/autori:Leonardo Rundo a,b,c,d, Andrea Tangherloni 1 a,e,f, Paolo Cazzaniga g,h, Marco S. Nobile a, h, Giorgio Russo b, Maria Carla Gilardi b, Salvatore Vitabile i, Giancarlo Mauri a,h, Daniela Besozzi a, Carmelo Militello b/titolo:A novel framework for MR image segmentation and quantification by using MedGA/doi:10.1016%2Fj.cmpb.2019.04.016/rivista:Computer methods and programs in biomedicine (Print)/anno:2019/pagina_da:159/pagina_a:172/intervallo_pagine:159–172/volume:176

BACKGROUND AND OBJECTIVES: Image segmentation represents one of the most challenging issues in medical image analysis to distinguish among different adjacent tissues in a body part. In this context, appropriate image pre-processing tools can improve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d9a6cf11b82772b39bda24038651c4
http://hdl.handle.net/10447/366164

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Morphological Volumetry : Theory, Concepts, and Application to Quantitative Medical Imaging

Autor: Hahn, Horst Karl

This thesis brings quantitative methods on complex medical image data closer to clinical routine, and bridges the gap between manual and automated processing. Efficient and effective image segmentation methods are described, and applied to currently

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______139::a69562b001356b916c28def59743f4e8
https://media.suub.uni-bremen.de/handle/elib/2114