The aortic wall contains collagen fibrils, smooth muscle cells, and elastic fibers as the
primary load-bearing components. It is well known that the collagen fibrils bear loads in the …

Automated image analysis of histopathology specimens could potentially provide support for
early detection and improved characterization of breast cancer. Automated segmentation of …

One of the most commonly used clinical tests performed today is the routine evaluation of
peripheral blood smears. In this paper, we investigate the design, development, and …

We have used incremental stress-strain curves to study the mechanical behavior of porcine
aorta, carotid artery, and vena cava. Elastic and viscous stress-strain curves are composed …

Automatic image aesthetics rating has received a growing interest with the recent
breakthrough in deep learning. Although many studies exist for learning a generic or …

Automatic and accurate Gleason grading of histopathology tissue slides is crucial for
prostate cancer diagnosis, treatment, and prognosis. Usually, histopathology tissue slides …

The increasing number of applications of three-dimensional (3D) tumor spheroids as an in
vitro model for drug discovery requires their adaptation to large-scale screening formats in …

As the most common neoplasm arising from the kidney, renal cell carcinoma (RCC)
continues to have a significant impact on global health. Conventional cross-sectional …

Purpose: Recently, the outbreak of the novel coronavirus disease 2019 (COVID-19)
pandemic has seriously endangered human health and life. In fighting against COVID-19 …

Object-based segmentation is a challenging topic. Most of the previous algorithms focused
on segmenting a single or a small set of objects. In this paper, the multiple class object …