Breast cancer is the most common malignant disease in women worldwide. In recent
decades, earlier diagnosis and better adjuvant therapy have substantially improved patient …

Breast cancer is one of the common type of cancer in females across the world. An early
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …

The performance of most conventional classification systems relies on appropriate data
representation and much of the efforts are dedicated to feature engineering, a difficult and …

Abstract Convolutional Neural Networks (CNN) are state-of-the-art models for many image
classification tasks. However, to recognize cancer subtypes automatically, training a CNN on …

Despite the fact that different objects possess distinct class-specific features, they also
usually share common patterns. This observation has been exploited partially in a recently …

In histopathological image analysis, feature extraction for classification is a challenging task
due to the diversity of histology features suitable for each problem as well as presence of …

Histopathology images exhibit considerable variability, which can make diagnosis prone to
uncertainty and errors. Using retrieval systems to locate similar images when a query image …

An emerging technology in cancer care and research is the use of histopathology whole
slide images (WSI). Leveraging computation methods to aid in WSI assessment poses …

AI-powered analysis of histopathology data has become an invaluable assistant for
pathologists due to its efficiency and accuracy. However, existing deep learning methods …

Abstract Convolutional Neural Networks (CNNs) are state-of-theart models for many image
and video classification tasks. However, training on large-size training samples is currently …