There is need for a reliable in vitro system that can accurately replicate the cardiac
physiological environment for drug testing. The limited availability of human heart tissue …

The heart coordinates its functional parameters for optimal beat-to-beat mechanical activity.
Reliable detection and quantification of these parameters still represent a hot topic in …

Precision cut liver slices represent an encouraging ex vivo method to understand the
pathogenesis of liver disease alongside drug induced liver injury. Despite being more …

The timely detection of diabetic retinopathy (DR) is crucial to prevent serious harm to the
optic nerve and potential visualization damage. This research proposes a computer-aided …

Several articles have discussed the growing role of artificial intelligence (AI), machine
learning (ML), and radiomics in the evaluation and management of renal tumors; yet, no …

This chapter explores the utilization of optical coherence tomography (OCT) imaging in
diagnosing age-related macular degeneration (AMD), with a specific emphasis on …

Gliomas, the most prevalent primary brain tumors and a leading cause of mortality
worldwide, require accurate grading for effective treatment planning. In this study, a unique …

Liver tumors, which include a variety of benign and malignant growths that affect the liver,
are a serious medical problem on a global scale. The primary goal of this research is to …

Cardiac MRI is a widely used noninvasive tool that can provide us with an evaluation of
cardiac anatomy and function. It can also be used for heart diagnosis. Heart diagnosis …

In this chapter, a review on texture-based methods for diagnosis and grading of diabetic
retinopathy in fundus images. We categorize these methods into major categories based on …