Literature DB >> 27374127

Machine learning for medical images analysis.

A Criminisi1.   

Abstract

This article discusses the application of machine learning for the analysis of medical images. Specifically: (i) We show how a special type of learning models can be thought of as automatically optimized, hierarchically-structured, rule-based algorithms, and (ii) We discuss how the issue of collecting large labelled datasets applies to both conventional algorithms as well as machine learning techniques. The size of the training database is a function of model complexity rather than a characteristic of machine learning methods. Crown
Copyright © 2016. Published by Elsevier B.V. All rights reserved.

Keywords:  Decision forests; Machine learning; Training data

Mesh:

Year:  2016        PMID: 27374127     DOI: 10.1016/j.media.2016.06.002

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  4 in total

1.  Deep learning of early brain imaging to predict post-arrest electroencephalography.

Authors:  Jonathan Elmer; Chang Liu; Matthew Pease; Dooman Arefan; Patrick J Coppler; Katharyn L Flickinger; Joseph M Mettenburg; Maria E Baldwin; Niravkumar Barot; Shandong Wu
Journal:  Resuscitation       Date:  2022-01-15       Impact factor: 5.262

2.  Classification of Paediatric Inflammatory Bowel Disease using Machine Learning.

Authors:  E Mossotto; J J Ashton; T Coelho; R M Beattie; B D MacArthur; S Ennis
Journal:  Sci Rep       Date:  2017-05-25       Impact factor: 4.379

3.  What you sample is what you get: ecomorphological variation in Trithemis (Odonata, Libellulidae) dragonfly wings reconsidered.

Authors:  Norman MacLeod; Benjamin Price; Zackary Stevens
Journal:  BMC Ecol Evol       Date:  2022-04-11

4.  Evaluation of an artificial intelligent hydrocephalus diagnosis model based on transfer learning.

Authors:  Weike Duan; Jinsen Zhang; Liang Zhang; Zongsong Lin; Yuhang Chen; Xiaowei Hao; Yixin Wang; Hongri Zhang
Journal:  Medicine (Baltimore)       Date:  2020-07-17       Impact factor: 1.817

  4 in total

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