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Logo Ateneo
   
Machine Learning Techniques for Medical Image Analysis

14 Febbraio 2017, ore 10:00

Sala Seminari, 1° piano - Dipartimento di Informatica, Sistemistica e Comunicazione, Edificio U14 
Relatore/i: Leonardo Rundo, University of Milano-Bicocca, Department of Informatics, Systems and Communication (DISCo), Milano, Italy Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council of Italy (CNR), Cefalù (PA), Italy

Abstract:

 

Nowadays, the amount of heterogeneous biomedical data is increasing more and more thanks to advancements in Information Technology. This huge information ensemble could overwhelm analytic capabilities of physicians in their decision-making processes.

Radiologic imaging acquires clinical value in patient’s care. In this context, medical imaging plays a crucial role in medical decision tasks. Minimally invasive acquisition modalities provide detailed information about the anatomy and physiology of internal organs.

Medical image analysis studies the development of innovative image processing methods that are able to extract clinically relevant information. Machine Learning automatically identifies complex patterns and can definitely help radiologists to make intelligent decisions on radiology data. However, conventional Machine Learning techniques have to be adapted and tailored to address the issues concerning biomedical images.

In this seminar, different categories of Machine Learning algorithms for medical image analysis will be introduced, focusing on image segmentation and registration. The challenges and the characteristics of the most recent techniques, including Probabilistic Graphical Models and Deep Learning, will be presented and discussed by means of several clinical applications. To conclude, a novel multimodal image segmentation approach will be also described.

 

Short bio:

 

Leonardo Rundo received his Bachelor and Master Degrees in Computer Science Engineering from the University of Palermo, Italy, in 2010 and 2013, respectively. Since December 2013, he has been Research Fellow at the Institute of Molecular Bioimaging and Physiology, National Research Council of Italy (IBFM-CNR), Cefalù (PA), Italy. He is currently a Ph.D. Student in Computer Science, under the supervision of Prof. G. Mauri, at the University of Milano-Bicocca, Italy. His main scientific research interests focus on digital image processing (especially medical image analysis and segmentation), Magnetic Resonance Imaging, machine learning and computational intelligence.

 

 

For information contact Leonardo Rundo leonardo.rundo@disco.unimib.it

 

 

In archivio dal: 15/02/2017


  

  

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redazioneweb@disco.unimib.it - ultimo aggiornamento di questa pagina 13/09/2017