Histopathology plays a central role in diagnosis of many diseases including solid cancers.
Efforts are underway to transform this subjective art to an objective and quantitative science …

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal human cancers.
However, the symptoms and radiographic appearance of chronic pancreatitis (CP) mimics …

Overfitting remains a significant challenge in the application of Multiple Instance Learning
(MIL) methods for Whole Slide Image (WSI) analysis. Visualizing heatmaps reveals that …

In this paper, we introduce a new dataset, Kimia Path24, for image classification and
retrieval in digital pathology. We use the whole scan images of 24 different tissue textures to …

Background: Analysis of tissue biopsy whole-slide images (WSIs) depends on effective
detection and elimination of image artifacts. We present a novel method to detect tissue-fold …

Oral squamous cell carcinoma is the most common oral cancer. In this paper, we present a
performance analysis of four different deep learning-based pixel-wise methods for lesion …

Digital pathology is becoming technically possible to implement for routine pathology work.
At our institution, we have been using digital pathology for second opinion intraoperative …

Advances in computing speed and power have made a pure digital work flow for pathology.
New technologies such as whole slide imaging (WSI), multispectral image analysis, and …

In this research, we present a semi-supervised segmentation solution using convolutional
autoencoders to solve the problem of segmentation tasks having a small number of ground …

This review furnishes an exhaustive analysis of the latest advancements in deep learning
techniques applied to whole slide images (WSIs) in the context of cancer prognosis …