Abstract Purpose Artificial Intelligence (AI) involves several and different techniques able to
elaborate a large amount of data responding to a specific planned outcome. There are …

Many malignant cancers like glioblastoma are highly adaptive diseases that dynamically
change their regional biology to survive and thrive under diverse microenvironmental and …

Accurate identification of molecular alterations in gliomas is crucial for their diagnosis and
treatment. Although, fluorescence in situ hybridization (FISH) allows for the observation of …

We provide in this paper a comprehensive comparison of various transfer learning strategies
and deep learning architectures for computer-aided classification of adult-type diffuse …

In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of
glioma histopathology images using artificial intelligence (AI) offers new opportunities to …

In recent years, the diagnosis of gliomas has become increasingly complex. Histological
assessment of glioma tissue using modern machine learning techniques offers new …

Background: Deep learning techniques explain the enormous potential of medical image
analysis, particularly in digital pathology. Concurrently, molecular markers have gained …