Alexis V. Nees
According to our database1,
Alexis V. Nees
authored at least 11 papers
between 2003 and 2016.
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Bibliography
2016
A Similarity Study of Interactive Content-Based Image Retrieval Scheme for Classification of Breast Lesions.
IEICE Trans. Inf. Syst., 2016
2012
Interactive content-based image retrieval (CBIR) computer-aided diagnosis (CADx) system for ultrasound breast masses using relevance feedback.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
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.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the Breast Imaging, 2012
2011
Similarity evaluation between query and retrieved masses using a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images: an observer study.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2009
A computer-aided diagnosis system for prediction of the probability of malignancy of breast masses on ultrasound images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Concordance of computer-extracted image features with BI-RADS descriptors for mammographic mass margin.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Characterization of posterior acoustic features of breast masses on ultrasound images using artificial neural network.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Design and evaluation of a new automated method for the segmentation and characterization of masses on ultrasound images.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
2004
ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
2003
ROC study: effects of computer-aided diagnosis on radiologists' characterization of malignant and benign breast masses in temporal pairs of mammograms.
Proceedings of the Medical Imaging 2003: Image Processing, 2003