Medical Imaging 2009: Computer-Aided Diagnosis 2009
DOI: 10.1117/12.813538
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Interactive breast cancer segmentation based on relevance feedback: from user-centered design to evaluation

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Cited by 4 publications
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“…The ultimate objectives of the research presented here are to design, implement and evaluate a BC-oriented interactive system which integrates the interactive annotation of significant findings (i.e., lesion characterization and reporting) and the semiautomatic lesion detection. This paper focuses on the design and the evaluation of the annotation tool; refer to [5] for more details about the semi-automatic lesion detection tool. A prototype for lesion annotation, based on semantic web technologies, was presented during SPIE Medical Imaging 2007 [4].…”
Section: Objectives and Significance Of The Workmentioning
confidence: 99%
“…The ultimate objectives of the research presented here are to design, implement and evaluate a BC-oriented interactive system which integrates the interactive annotation of significant findings (i.e., lesion characterization and reporting) and the semiautomatic lesion detection. This paper focuses on the design and the evaluation of the annotation tool; refer to [5] for more details about the semi-automatic lesion detection tool. A prototype for lesion annotation, based on semantic web technologies, was presented during SPIE Medical Imaging 2007 [4].…”
Section: Objectives and Significance Of The Workmentioning
confidence: 99%