Correlation between Ki-67 labeling index and mitotic index in Head and neck squamous cell carcinoma.

Background: Proliferative activity of any tissue or neoplasm can be determined by its growth rate by mitotic count or by using antibodies directed against specific antigens like Ki-67. The usefulness of Ki-67 in head and neck cancers has been debated for the past 20 years; however, no study has definitively resolved this controversy.

Aim: Assess the correlation between Ki-67 expression and mitotic index in head and neck squamous cell carcinoma.

To predict the left ventricular endocardial scar tissue pattern using Radon descriptor-based machine learning.

Objective: Scar tissue is an identified cause for the development of malignant ventricular arrhythmias in patients of myocardial infarction, which ultimately leads to cardiac death, a fatal outcome. We aim to evaluate the left ventricular endocardial Scar tissue pattern using Radon descriptor-based machine learning. We performed automated Left ventricle (LV) segmentation to find the LV endocardial wall, performed morphological operations, and marked the region of the scar tissue on the endocardial wall of LV.

Comparative study of left atrium epicardial fat tissue pattern using persistent homology approach.

Objective: Atrial Fibrillation (A-fib) is an abnormal heartbeat condition in which the heart races and beats in an uncontrollable way. It is observed that the presence of increased epicardial fat/fatty tissue in the atrium can lead to A-fib. Persistent homology using topological features can be used to recapitulate enormous amounts of spatially complicated medical data into a visual code to identify a specific pattern of epicardial fat tissue with non-fat tissue.

Radon descriptor-based machine learning using CT images to predict the fat tissue on left atrium in the heart.

Heart disease has a higher fatality rate than any other disease. Increased Atrial fat on the left atrium has been discovered to cause Atrial Fibrillation (AF) in most patients. AF can put one's life at risk and eventually lead to death.