The first-choice imaging test for visualization of thromboemboli in the pulmonary vasculature
in patients with suspected acute pulmonary embolism (PE) is multidetector computed …

Stroke is a severe illness, that requires early stroke detection and intervention, as this would
help prevent the worsening of the condition. The research is done to solve stroke prediction …

Endometriosis (EM) is one of the most common diseases among women of reproductive
age. The etiology and pathogenesis of EM remain unclear and therefore there is a lack of …

We present a novel computer algorithm to automatically detect and segment pulmonary
embolisms (PEs) on computed tomography pulmonary angiography (CTPA). This algorithm …

Abstract Recently, Deep Learning (DL) models have shown promising accuracy in analysis
of medical images. Alzeheimer Disease (AD), a prevalent form of dementia, uses Magnetic …

In the realm of medical imaging, the early detection of kidney issues, particularly renal cell
hydronephrosis, holds immense importance. Traditionally, the identification of such …

Parkinson's disease (PD) is a chronic and progressive neurological disease that mostly
shakes and compromises the motor system of the human brain. Patients with PD can face …

Objectives CT pulmonary angiography is the gold standard for diagnosing pulmonary
embolism, and DL algorithms are being developed to manage the increase in demand. The …

This paper presents an enhanced approach to kidney segmentation using a modified
CLAHE preprocessing method, aimed at improving image clarity and CNN performance on …

In modern healthcare, integrating Artificial Intelligence (AI) and Internet of Medical Things
(IoMT) is highly beneficial and has made it possible to effectively control disease using …