Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Abstract Changes in cerebral blood flow are associated with stroke, aneurysms, vascular
cognitive impairment, neurodegenerative diseases and other pathologies. Brain …

A number of imaging techniques are being used for diagnosis and treatment of vascular
pathologies like stenoses, aneurysms, embolisms, malformations and remodelings, which …

Medical attention has long been focused on diagnosing diseases through retinal
vasculature. However, due to the image intensity inhomogeneity and retinal vessel thickness …

Techniques for imaging haemodynamics use ionizing radiation or contrast agents or are
limited by imaging depth (within approximately 1 mm), complex and expensive data …

Cancer cells are mechanically sensitive to physical properties of the microenvironment,
which can affect downstream signaling to promote malignancy, in part through the …

Significant work has been done towards deep learning (DL) models for automatic lung and
lesion segmentation and classification of COVID-19 on chest CT data. However …

Electroluminescence (EL) is considered an efficient technique for the quality assessment of
photovoltaic (PV) modules through observing the cell internal characteristics. Most cell …

Retinal blood vessels have been presented to contribute confirmation with regard to
tortuosity, branching angles, or change in diameter as a result of ophthalmic disease …

Background. Computed X-ray tomography (CTX) is a high-end nondestructive approach for
the visual assessment of root architecture in soil. Nevertheless, in order to evaluate high …