Invited Speaker

 

Dr. Angelo Genovese
University of Milan, Italy 

Title: Deep Learning for Hematopathology
Abstract: Computer Aided Diagnosis (CAD) systems are increasingly utilizing image analysis and Deep Learning (DL) techniques, due to their high accuracy in several medical imaging fields, including the detection of Acute Lymphoblastic (or Lymphocytic) Leukemia (ALL) from peripheral blood samples. CAD systems based on DL can support the pathologists in performing their decision by analyzing the blood samples images to determine the presence of lymphoblasts. However, when using DL, the limited dimensionality of ALL databases may highlight bias in the data and cause overfitting, favoring the use of transfer learning techniques to reduce the bias and increase the accuracy in the detection, in particular by considering Convolutional Neural Networks (CNN) and Vision Transformers (ViT) pretrained on larger databases. This talk will present recent possible solutions for high accuracy ALL detection based on CNNs and ViTs, addressing some of the problems of medical data, such as bias and limited dimensionality.

Bio: Angelo Genovese (S'12-M'15-SM’22) received the Ph.D. degree in computer science from the Università degli Studi di Milano, Milan, Italy, in 2014. He has been an Associate Professor in Computer Science with the Università degli Studi di Milano since 2022. He has been a Visiting Researcher with the University of Toronto, Toronto, ON, Canada. Original results have been published in over 80 papers in international journals, proceedings of international conferences, books, and book chapters. His current research interests include signal and image processing and artificial intelligence for industrial and environmental monitoring systems, medical imaging, and design methodologies and algorithms for self-adapting systems. Dr. Genovese is an Associate Editor of the Journal of Ambient Intelligence and Humanized Computing (Springer) and Array (Elsevier). For more information: https://homes.di.unimi.it/genovese/.

 Coming more soon......