Brain tissue segmentation is one of the most sought after research areas in medical image
processing. It provides detailed quantitative brain analysis for accurate disease diagnosis …

Recently, skin cancer is one of the spread and dangerous cancers around the world. Early
detection of skin cancer can reduce mortality. Traditional methods for skin cancer detection …

Develo** automatic diagnostic tools for the early detection of skin cancer lesions in
dermoscopic images can help to reduce melanoma-induced mortality. Image segmentation …

In this paper, we propose and evaluate six methods for the segmentation of skin lesions in
dermoscopic images. This set includes some state of the art techniques which have been …

Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their
structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is …

Melanoma mortality rates are the highest amongst skin cancer patients. Melanoma is life
threating when it grows beyond the dermis of the skin. Hence, depth is an important factor to …

A novel thresholding-based segmentation approach for accurate segmentation of pigmented
skin lesion images regarding malignant melanoma diagnosis has been proposed. The …

Background The paper reviews the advancement of tools and current technologies for the
detection of melanoma. We discussed several computational strategies from pre‐to …

Accurate bone modeling from medical images is essential in the diagnosis and treatment of
patients because it supports the detection of abnormal bone morphology, which is often …

The accurate detection of object boundaries via active contours is an ongoing research topic
in computer vision. Most active contours converge toward some desired contour by …