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Ultrasound Image Segmentation and Classification Print

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Project description

Information Technology has hugely affected medical imaging, making possible the realization Of complex vision systems, like ultrasonography. So far the interpretation of bioimages has always been exclusive responsibility of physicians, but recently computerized schemes have been proposed to highlight from images some important aspects of biological tissues invisible to human eye.

Our research focuses on automatic techniques for detection and characterization of cancer lesions in ultrasound (US) images, based on computer vision and artificial intelligence.

The main achievement consists on the implementation of a complete Computer-Aided Diagnosis scheme to recognize cancer zones in US images based on the computation of a large number of features: spectral features capture acoustic information, textural features extract the spatial alignment of grey levels, fractal features are used to understand the complexity of signals.

Contact: Nicola Testoni > This e-mail address is being protected from spam bots, you need JavaScript enabled to view it


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