Balancing security with image quality is a critical challenge in image encryption, particularly
for applications like medical imaging that require high visual fidelity. Traditional encryption …

This paper presented FootSeg, a novel method for automatic anatomical segmentation of
the thirty-one foot bones from weight-bearing cone beam CT scans using deep neural …

In this study, image processing is paired with Shufflenet V2 CNN Algorithm to detect Black
Sigatoka infected banana leaves with the aid of Data Augmentation and Padding for testing …

Deep learning telah diterapkan di berbagai bidang seperti pembacaan aksara pada
prasasti. Beberapa penelitian telah menerapkan deep learning dan menciptakan model …

The thesis objective is to develop a deep learning-based system for severity analysis of
pneumoconiosis, which would contribute to the monitoring and management of disease …

Diabetic retinopathy (DR) is a disorder caused by uncontrolled diabetes over an extended
period of time. It is the most serious eye problem triggered by diabetes, affecting more than …

The availability of sufficient and diverse datasets poses a critical challenge for the
development of effective machine learning models in the field of computer vision. This study …

The segmentation of lung fields in chest X-ray images is one of the most significant
preliminary steps in the process of pulmonary analysis. This step allows for the identification …

Delayed enhancement cardiac magnetic resonance imaging is crucial in identifying and
monitoring heart disease. Since Deep Convolutional Neural networks have been found to …