Segmentation of abdominal organs from CT using a multi-level, hierarchical neural network strategy
- 1 March 2014
- journal article
- research article
- Published by Elsevier BV in Computer Methods and Programs in Biomedicine
- Vol. 113 (3), 830-852
- https://doi.org/10.1016/j.cmpb.2013.12.008
Abstract
No abstract availableKeywords
Funding Information
- TÜBİTAK (112E032 and 104E178)
This publication has 38 references indexed in Scilit:
- Evaluation of the registration of temporal series of contrast-enhanced perfusion magnetic resonance 3D images of the liverComputer Methods and Programs in Biomedicine, 2012
- A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography imagesComputer Methods and Programs in Biomedicine, 2012
- A method of combining multiple probabilistic classifiers through soft competition on different feature setsNeurocomputing, 1998
- A connectionist method for pattern classification with diverse featuresPattern Recognition Letters, 1998
- On combining classifiersIeee Transactions On Pattern Analysis and Machine Intelligence, 1998
- Knowledge-based organ identification from CT imagesPattern Recognition, 1995
- Decision combination in multiple classifier systemsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
- Building a new generation of handwriting recognition systemsPattern Recognition Letters, 1993
- A statistical method for automatic labeling of tissues in medical imagesMachine Vision and Applications, 1990
- Recognition of organs in CT-image sequences: A model guided approachComputers and Biomedical Research, 1988