A Feature Learning Framework for Histology Images Classification
C. Di Ruberto; L. Putzu Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy
Abstract
Histology is the study and analysis of the microscopic structure of cells and tissues of organisms, essential for the evaluation of grading and prognosis of disease. Nowadays this analysis is still performed manually, involving numerous drawbacks, in particular the results accuracy heavily depends on operator skills. In addition, this process is really slow and time-consuming. Thus a computer-assisted disease system could be very useful to speed up the process and to reduce subjectivity. In particular, developing general applications not dependent ...
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