Purpose Colorectal cancer (CRC) is markedly heterogeneous and develops progressively
toward malignancy through several stages which include stroma (ST), benign hyperplasia …

Microscopic biopsy images are coloured in nature because pathologists use the
haematoxylin and eosin chemical colour dyes for biopsy examinations. In this study, biopsy …

Deep kernel learning has been well explored for multi-class classification tasks; however,
relatively less work is done for one-class classification (OCC). OCC needs samples from …

One of the most significant processes in cancer cell and tissue image analysis is the efficient
extraction of features for grading purposes. This research applied two types of three …

A fully automatic method for breast cancer diagnosis based on microscopic biopsy images is
presented. The method achieves high recognition rates by applying multi-class support …

The crustacean processing industry produces large quantities of waste by-products (up to
70%). Such wastes could be used as raw materials for producing chitosan, a polysaccharide …

A systematic review was conducted in line with the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses protocol to evaluate the diagnostic accuracy of artificial …

RATIONALE AND OBJECTIVES: The capability of wavelet transforms to separate signals
into frequency bands is the basis for its use in image compression and storage, data …

This paper presents a novel automatic mammography recognition approach used to
develop computer-aided diagnostic systems that require a robust method to assist the …

Breast cancer diagnosis based on microscopic biopsy images and machine learning has
demonstrated great promise in the past two decades. Various feature selection (or …