Results 271 to 280 of about 73,359 (292)

A comprehensive model combining radiomics and risk factors for predicting massive hemorrhage in cesarean scar pregnancy during dilatation and curettage

Feng Gao, Le Fu, Zhuoying Zhang, Yafen Li, Zeyi Zhang, Yong Zhang, Yichen Zhang, Jie Shi, Jiejun Cheng   +8 more
openalex   +1 more source

Radiomics and Machine Learning in Early Detection of Oral Potentially Malignant Disorders.

J Pharm Bioallied Sci
Dhopte A, Singh V, Priya JSJ, Bhatt S, Ingale PC, Bagde H.   +5 more
europepmc   +1 more source

Radiomics and Radiogenomics

, 2019
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

GEP-NET radiomics: a systematic review and radiomics quality score assessment

European Radiology, 2022
The number of radiomics studies in gastroenteropancreatic neuroendocrine tumours (GEP-NETs) is rapidly increasing. This systematic review aims to provide an overview of the available evidence of radiomics for clinical outcome measures in GEP-NETs, to understand which applications hold the most promise and which areas lack evidence.PubMed, Embase, and ...
Femke C. R. Staal, Else A. Aalbersberg, Daphne van der Velden, Erica A. Wilthagen, Margot E. T. Tesselaar, Regina G. H. Beets-Tan, Monique Maas   +6 more
openaire   +4 more sources

Deep radiomics: deep learning on radiomics texture images

Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Lung cancer has high mortality and occurrence worldwide. Radiomics is a method for extracting quantitative features from medical images that can be used for predictive analysis. Radiomics has been applied quite successfully for lung nodule malignancy prediction.
Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof   +6 more
openaire   +1 more source

Radiomics of hepatocellular carcinoma

Abdominal Radiology, 2020
The diagnosis of hepatocellular carcinoma relies largely on non-invasive imaging, and is well suited for radiomics analysis. Radiomics is an emerging method for quantification of tumor heterogeneity by mathematically analyzing the spatial distribution and relationships of gray levels in medical images. The published studies on radiomics analysis of HCC
Sara Lewis, Stefanie Hectors, Bachir Taouli   +2 more
openaire   +2 more sources