We propose an automated, explainable artificial intelligence (xAI) system for age-related
macular degeneration (AMD) diagnosis. Mimicking the physician's perceptions, the …

Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification
and prompt treatment are essential to prevent vision impairment caused by DR. Manual …

Data theft from year to year has increased in the era of big data and society 5.0. One area
that requires data security is patient medical data. Medical image data security must be done …

The use of computers has become an integral part of our daily lives, and they are utilized in
various fields. However, traditional input devices such as a mouse and keyboard can …

Modern Medical diagnosis has a significant reliance on systematic image analysis for
rational prognosis. With the advancement of computer vision methods, supported by deep …

The current paper is aimed at examining the use of machine learning approaches for lung
cancer detection and classification using medical imaging data. In order to create the model …

Diabetic retinopathy (DR) is a complication of diabetes that causes blindness and the early
detection of diabetics using retinopathy images remains a challenging task. Hence, a novel …

Artificial Intelligence (AI) telah berkembang pesat, termasuk di bidang kesehatan,
khususnya dalam analisis citra medis. Salah satu cabangnya, Deep Learning (DL) …

Diabetic Retinopathy (DR) is an eye complication arising from diabetic mellitus, leading to
complete blindness as it progresses over time. The progression of diabetic retinopathy can …

Diabetic Retinopathy (DR) is a retinal condition resulting in damage to blood vessels within
the eye, serving as a leading cause of vision impairment or blindness when not addressed …