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 …

The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …

Benefiting from the large-scale archiving of digitized whole-slide images (WSIs), computer-
aided diagnosis has been well developed to assist pathologists in decision-making. Content …

The adoption of digital pathology has enabled the curation of large repositories of gigapixel
whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic …

Automatic analysis of histopathological images has been widely utilized leveraging
computational image-processing methods and modern machine learning techniques. Both …

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

Medical imaging is fundamental to modern healthcare, and its widespread use has resulted
in the creation of image databases, as well as picture archiving and communication systems …

In this paper, a new image indexing and retrieval algorithm using local mesh patterns are
proposed for biomedical image retrieval application. The standard local binary pattern …

A new image feature description based on the local wavelet pattern (LWP) is proposed in
this paper to characterize the medical computer tomography (CT) images for content-based …

A main goal of mathematical and computational oncology is to develop quantitative tools to
determine the most effective therapies for each individual patient. This involves predicting …