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 …

Melanoma is the most aggressive type of skin cancer, and the pathological examination
remains the gold standard for the final diagnosis. Traditionally, the histopathology slides are …

The count of mitotic cells is a critical factor in most cancer grading systems. Extracting the
mitotic cell from the histopathological image is a very challenging task. In this paper, we …

Detection of melanocytes serves as a critical prerequisite in assessing melanocytic growth
patterns when diagnosing melanoma and its precursor lesions on skin biopsy specimens …

Histopathological images are widely used to diagnose diseases including skin cancer. As
digital histopathological images are typically of very large size, in the order of several billion …

Automatic segmentation of the epidermis area in skin histopathological images is an
essential step for computer-aided diagnosis of various skin cancers. This paper presents a …

Nuclei detection is often a critical initial step in the development of computer aided diagnosis
and prognosis schemes in the context of digital pathology images. While over the last few …

Background Histopathology images are critical for medical diagnosis, eg, cancer and its
treatment. A standard histopathology slice can be easily scanned at a high resolution of, say …

Melanoma is the third most common type of skin cancer and is responsible for the most skin
cancer deaths. A diagnosis of melanoma is made by the visual interpretation of tissue …

Melanoma is one of the deadliest types of skin cancer with increasing incidence. The most
definitive diagnosis method is the histopathological examination of the tissue sample. In this …