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» Evaluating Modelling Approaches for Medical Image Annotation...
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SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
15 years 9 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
CBMS
2002
IEEE
15 years 4 months ago
Content-Based and Metadata Retrieval in Medical Image Database
The need for systems that can stock, represent, and provide efficient retrieval facilities of images of particular interest is becoming very high in medicine. In this respect, a l...
Solomon Atnafu, Richard Chbeir, Lionel Brunie
91
Voted
NIPS
2008
15 years 1 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Xuming He, Richard S. Zemel
CLEF
2010
Springer
15 years 28 days ago
ImageCLEF 2010 Modality Classification in Medical Image Retrieval: Multiple Feature Fusion with Normalized Kernel Function
Abstract. In this paper, we describe an approach for the automatic modality classification in medical image retrieval task of the 2010 CLEF cross-language image retrieval campaign ...
Xian-Hua Hanand Yen-Wei Chen
MVA
2002
116views Computer Vision» more  MVA 2002»
14 years 11 months ago
Contour Extraction in Medical Images Using B-Snake Model
In this paper, a close-form B-snake model is presented for contour extraction in medical images. Based on our previous research work [lo], the Principal Component Analysis (PCA) h...
Yue Wang, Eam Khwang Teoh