With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

Abundant accumulation of digital histopathological images has led to the increased demand
for their analysis, such as computer-aided diagnosis using machine learning techniques …

In light of the recent success of artificial intelligence (AI) in computer vision applications,
many researchers and physicians expect that AI would be able to assist in many tasks in …

Breast cancer is one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …

Early and accurate diagnosis of diseases can often save lives. Diagnosis of diseases from
tissue samples is done manually by pathologists. Diagnostics process is usually time …

We explore the problem of classification within a medical image data-set based on a feature
vector extracted from the deepest layer of pre-trained Convolution Neural Networks. We …

With the emergence of digital pathology, searching for similar images in large archives has
gained considerable attention. Image retrieval can provide pathologists with unprecedented …

The increasing availability of large institutional and public histopathology image datasets is
enabling the searching of these datasets for diagnosis, research, and education. Although …

Despite the progress made in the field of medical imaging, it remains a large area of open
research, especially due to the variety of imaging modalities and disease-specific …

The uncontrollable growth of cells in the breast tissue causes breast cancer which is the
second most common type of cancer affecting women in the United States. Normally, human …