Advance your academic career, collaborate globally, and expand your network— join now !

LORENZO PUTZU

Dr. LORENZO PUTZU

University of Cagliari

Share Link

Share

Information

Lorenzo Putzu is a postdoctoral researcher at the University of Cagliari, Italy, where he received his BS degree, MS degree and PhD in Computer Science in 2010, 2012 and 2016, respectively. Since 2012 he has worked on image processing and analysis systems, in particular, he focused on medical images in order to provide tools for automatic or semi-automatic diagnosis as a support for medical activity. He is the author of about 20 scientific papers in peer-reviewed journals and international conference proceedings related to this task. His research interests include computer vision, medical image analysis, shape analysis and matching, image retrieval and classification. Currently, he is carrying out his research on image and video interpretation for crowd monitoring video surveillance tasks and on image analysis for computer-aided diagnosis systems.

Research Keywords & Expertise

Computer Aided Diagnos...
Computer Vision
Image Processing
Pattern Recognition
machine leaning

Fingerprints

14%
Computer Vision
14%
Image Processing
5%
Computer Aided Diagnosis
5%
Video Surveillance Applications

Short Biography

Lorenzo Putzu is a postdoctoral researcher at the University of Cagliari, Italy, where he received his BS degree, MS degree and PhD in Computer Science in 2010, 2012 and 2016, respectively. Since 2012 he has worked on image processing and analysis systems, in particular, he focused on medical images in order to provide tools for automatic or semi-automatic diagnosis as a support for medical activity. He is the author of about 20 scientific papers in peer-reviewed journals and international conference proceedings related to this task. His research interests include computer vision, medical image analysis, shape analysis and matching, image retrieval and classification. Currently, he is carrying out his research on image and video interpretation for crowd monitoring video surveillance tasks and on image analysis for computer-aided diagnosis systems.