A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.03.024
Abstract: Spinal metastasis, a metastatic cancer of the spine, is the most common malignant disease in the spine. In this study, we investigate the feasibility of automated spinal metastasis detection in magnetic resonance imaging (MRI) by… read more here.
Keywords: spinal metastasis; metastasis detection; metastasis; siamese neural ... See more keywords
Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI
Sign Up to like & getrecommendations! Published in 2024 at "Investigative Radiology"
DOI: 10.1097/rli.0000000000001137
Abstract: Objectives Small lesions are the limiting factor for reducing gadolinium-based contrast agents in brain magnetic resonance imaging (MRI). The purpose of this study was to compare the sensitivity and precision in metastasis detection on true… read more here.
Keywords: brain; true artificial; using true; metastasis detection ... See more keywords
Individualized and generalized models for predicting observer performance on liver metastasis detection using CT
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.5.055501
Abstract: Abstract. Purpose: Radiologists exhibit wide inter-reader variability in diagnostic performance. This work aimed to compare different feature sets to predict if a radiologist could detect a specific liver metastasis in contrast-enhanced computed tomography (CT) images… read more here.
Keywords: individualized generalized; generalized models; detection; liver metastasis ... See more keywords