Background Because of its non-destructive nature, label-free imaging is an important
strategy for studying biological processes. However, routine microscopic techniques like …

Breast cancer is one of the common type of cancer in females across the world. An early
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …

The automatic segmentation of blood cells for detecting hematological disorders is a crucial
job. It has a vital role in diagnosis, treatment planning, and output evaluation. The existing …

Multi-class cell nuclei detection is a fundamental prerequisite in the diagnosis of
histopathology. It is critical to efficiently locate and identify cells with diverse morphology and …

Background: Advances in image analysis and computational techniques have facilitated
automatic detection of critical features in histopathology images. Detection of nuclei is critical …

Oral cavity squamous cell carcinoma is the most common type of head and neck carcinoma.
Its incidence is increasing worldwide, and it is associated with major morbidity and mortality …

Examination of tissue biopsy and quantification of the various characteristics of cellular
processes are clinical benchmarks in cancer diagnosis. Nuclei and glands instance …

This paper presents a computer-aided technique for automated analysis and classification of
melanocytic tumor on skin whole slide biopsy images. The proposed technique consists of …

Spermatogenesis in mammals is a cyclic process of spermatogenic cell development in the
seminiferous epithelium that can be subdivided into 12 subsequent stages. Histological …

Upcoming technologies enable routine collection of highly multiplexed (20–60 channel),
subcellular resolution images of mammalian tissues for research and diagnosis. Extracting …