The book ‘Medical Content-Based Retrieval for Clinical Decision Support’ is now available\u00a0online.<\/a>\u00a0Prof. Henning M\u00fcller contributes as editor.\u00a0<\/p>\n This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. Content Level \u00bb<\/span>\u00a0Research<\/span><\/p>\n Keywords \u00bb<\/span>\u00a03D retrieval<\/span>\u00a0<\/span>–\u00a0<\/span>computer-aided diagnosis<\/span>\u00a0<\/span>–\u00a0<\/span>multimodality<\/span>\u00a0<\/span>–\u00a0<\/span>spatiotemporal polynomials<\/span><\/span>–\u00a0<\/span>visual search<\/span><\/span><\/p>\n Related subjects \u00bb<\/span>\u00a0Database Management & Information Retrieval\u00a0<\/span><\/a><\/span>–\u00a0<\/span>Image Processing\u00a0<\/span><\/a><\/span>–\u00a0<\/span>Software Engineering<\/span><\/a><\/span><\/p>\n <\/body><\/html><\/p>\n","protected":false},"excerpt":{"rendered":" The book ‘Medical Content-Based Retrieval for Clinical Decision Support’ is now available\u00a0online.\u00a0Prof. Henning M\u00fcller contributes as editor.\u00a0 This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012.The 10 revised full papers presented together with 2 invited talks … <\/p>\n
The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.<\/p>\n