6533b851fe1ef96bd12a97b1

RESEARCH PRODUCT

Computer-Aided Diagnosis System with Backpropagation Artificial Neural Network—Improving Human Readers Performance

Sławomir StemplewskiMarek Polewski

subject

Training setArtificial neural networkComputer sciencebusiness.industryComputer Science::Neural and Evolutionary ComputationPhysics::Medical PhysicsCADMachine learningcomputer.software_genreComputer aided detectionComputingMethodologies_PATTERNRECOGNITIONComputer-aided diagnosisArtificial intelligencebusinessartificial neural networks�mammographic imagescomputercomputer-aided detectionBackpropagation artificial neural network

description

This article presents the results of a study into possibility of artificial neural networks (ANNs) to classify cancer changes in mammographic images. Today’s Computer-Aided Detection (CAD) systems cannot detect 100 % of pathological changes. One of the properties of an ANN is generalized information —it can identify not only learned data but also data that is similar to training set. The combination of CAD and ANN could give better result and help radiologists to take the right decision.

yearjournalcountryeditionlanguage
2016-01-01
https://doi.org/10.1007/978-3-319-28567-2_17