A similarity study between the query mass and retrieved masses using decision tree content-based image retrieval (DTCBIR) CADx system for characterization of ultrasound breast mass images.
Hyun-chong ChoLubomir M. HadjiiskiHeang-Ping ChanBerkman SahinerMark A. HelvieChintana ParamagulAlexis V. NeesPublished in: Medical Imaging: Computer-Aided Diagnosis (2012)
Keyphrases
- digital mammography
- computer aided diagnosis
- mammogram images
- image retrieval
- image similarity
- relevance feedback
- text queries
- decision trees
- image data
- low level image features
- image database
- retrieved images
- breast ultrasound
- breast cancer
- similarity measure
- mammographic images
- computer aided
- image collections
- image analysis
- web images
- retrieval method
- image features
- input image
- object retrieval
- image classification
- image retrieval systems
- retrieving images
- medical imaging
- improve the retrieval accuracy
- retrieval accuracy
- relevant images
- digital mammograms
- logistic regression
- similarity measurement
- cbir systems
- keywords
- trademark images
- segmentation method
- image content