Computer-aided diagnosis of breast lesions in medical images
Computing in Science and Engineering
Cytological Breast Fine Needle Aspirate Images Analysis with a Genetic Fuzzy Finite State Machine
CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
An exploration of space-time constraints on contextual information in image-based testing interfaces
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
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The early detection of breast cancer increases the chance of cure of the disease. The aspiration examination of a female breast provides conditions of eliminating doubts in relation to the diagnosis. This work presents a tool of Virtual Reality that contributes with the medical training to execute aspiration examination in order to allow execution of the inherent procedures how many times are necessary.