Machine Learning for Medical Imaging
Top Cited Papers
- 1 March 2017
- journal article
- research article
- Published by Radiological Society of North America (RSNA) in RadioGraphics
- Vol. 37 (2), 505-515
- https://doi.org/10.1148/rg.2017160130
Abstract
Machine learning is a powerful technique for recognizing patterns on medical images; however, it must be used with caution because it can be misused if the strengths and weaknesses of this technolo... Machine learning is a technique for recognizing patterns that can be applied to medical images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be misapplied. Ma...Keywords
Funding Information
- National Cancer Institute (CA160045, DK90728)
- PKD Foundation (206g16a)
This publication has 46 references indexed in Scilit:
- A survey of MRI-based medical image analysis for brain tumor studiesPhysics in Medicine & Biology, 2013
- Pixel-Based Machine Learning in Medical ImagingInternational Journal of Biomedical Imaging, 2012
- Improving the Accuracy of CTC Interpretation: Computer-Aided DetectionGastrointestinal Endoscopy Clinics of North America, 2010
- A survey of cross-validation procedures for model selectionStatistics Surveys, 2010
- Hybrid ICA–Bayesian network approach reveals distinct effective connectivity differences in schizophreniaNeuroImage, 2008
- A review of feature selection techniques in bioinformaticsBioinformatics, 2007
- ST-DBSCAN: An algorithm for clustering spatial–temporal dataData & Knowledge Engineering, 2007
- Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imagingNeurobiology of Aging, 2006
- Improving nearest neighbor classification with cam weighted distancePattern Recognition, 2006
- Bayesian approaches to Gaussian mixture modelingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998