Radiomics in medical imaging—“how-to” guide and critical reflection

JE Van Timmeren, D Cester, S Tanadini-Lang… - Insights into …, 2020 - Springer
Radiomics is a quantitative approach to medical imaging, which aims at enhancing the
existing data available to clinicians by means of advanced mathematical analysis. Through …

A review of radiomics and artificial intelligence and their application in veterinary diagnostic imaging

O Bouhali, H Bensmail, A Sheharyar, F David… - Veterinary …, 2022 - mdpi.com
Simple Summary The goal of this paper is to provide an overview of current radiomic and AI
applications in veterinary diagnostic imaging. We discuss the essential elements of AI for …

[HTML][HTML] Statistical analysis on impact of image preprocessing of CT texture patterns and its CT radiomic feature stability: a phantom study

D Palani, KM Ganesh, L Karunagaran… - Asian Pacific Journal …, 2023 - ncbi.nlm.nih.gov
Aim: To examine computed tomography (CT) radiomic feature stability on various texture
patterns during pre-processing utilizing the Credence Cartridge Radiomics (CCR) phantom …

[HTML][HTML] How does radiomics actually work?–review

UI Attenberger, G Langs - RöFo-Fortschritte auf dem Gebiet der …, 2021 - thieme-connect.com
Personalisierte Präzisionsmedizin setzt eine hochakkurate Diagnostik voraus. Während die
radiologische Forschung sich in den letzten Jahrzehnten mit Scanner-und …

Whole-body/total-body biomarkers in PET imaging

L Rebaud - 2024 - theses.hal.science
This thesis in partnership with Institut Curie and Siemens Healthineers explores the use of
Positron Emission Tomography (PET) for cancer prognosis, focusing on non-Hodgkin …

[PDF][PDF] Predicting Tumour Response with Radiomics and Machine Learning in MR-Guided Cervix Brachytherapy

R Bellis - 2022 - rshare.library.torontomu.ca
This study seeks to determine if radiomic features extracted from whole or part of the gross
tumour volume of locally advanced cervical cancer (LACC) patients can be used to predict …

[引用][C] Ідентифікація та аналіз дрібновогневих уражень на МРТ головного мозку

ВВ Юрочкін - 2022 - КПІ ім. Ігоря Сікорського