Accurate noninvasive diagnosis of retinal disorders is required for appropriate treatment or
precision medicine. This work proposes a multi-stage classification network built on a multi …

Animal behavior serves as a reliable indicator of the adaptation of organisms to their
environment and their overall well-being. Through rigorous observation of animal actions …

Real-time speech-to-text and text-to-speech technologies have significantly influenced the
accessibility of communication for individuals who are deaf or mute. This research aims to …

In this study the authors propose a new solution for distinguish healthy cases and those with
optic disc drusen (ODD) utilizing Residual Attention Network (RAN). This network …

Decreased vision acuity and blindness due to retinal detachment (RD) are significant
concerns, emphasizing the importance of early diagnosis and identification. However …

Abstract Optical Coherence Tomography (OCT) is widely recognized as the leading modality
for assessing ocular retinal diseases, playing a crucial role in diagnosing retinopathy while …

Abstract In recent times, Artificial Intelligence (AI) and Internet of Things (IoT) approaches
are becoming the key driver for many healthcare applications. Healthcare applications are …

Retinal diseases affect the eye's retina and are the leading cause of vision loss. Timely
detection and diagnosis can provide more treatment options and preserve vision. Retinal …

Pose estimation of surgical tools is necessary for controlling and manipulating the tool in
confined surgical regions for minimally invasive surgeries. Several studies have explored …

Ultrasound is a widespread imaging modality, with special application in medical fields such
as nephrology. However, automated approaches for ultrasound renal interpretation still pose …