Digital histology images are amenable to the application of convolutional neural networks
(CNNs) for analysis due to the sheer size of pixel data present in them. CNNs are generally …

Histopathological image analysis is the gold standard for pathologists to grade colorectal
cancers of different differentiation types. However, the diagnosis by pathologists is highly …

In the context of dealing with limited annotated data, this paper introduces a weakly
supervised whole slide image (WSI) classification approach based on contrastive learning …

Histology images are extensively used by pathologists to assess abnormalities and detect
malignancy in breast tissues. On the other hand, Convolutional Neural Networks (CNN) are …

Deep Learning (DL) models have shown to achieve remarkable results for classification,
segmentation and detection tasks in medical image analysis. In this study, we experiment on …

In recent years, computational pathology has emerged as a discipline representing big-data
based approaches for the diagnosis and prognosis of cancer patients using different …