In order to meet the pressing demand for early diagnosis in healthcare, we proposed a
unique hybrid architecture in this study that is intended for the categorization of …

In this novel study, we address the critical need for automated interpretation and analysis of
ultrasound images in the context of fetal development assessment. The current large-scale …

In the realm of maternal healthcare, accurate fetal plane detection is of paramount
importance. This paper introduces a novel approach that leverages ensemble techniques to …

The identification and 3D reconstruction of human faces hold vital significance, influencing
augmented reality realism, bolstering biometric security measures, enabling virtual try-on …

In our exploration, we tackle the significant hurdle of diagnosing ovarian cancer, a
formidable challenge within the field of oncology. This cancer type often remains undetected …

Alzheimer's disease (AD) is still a major global health issue that requires sophisticated
staging and classification techniques. This paper introduces a novel approach to AD …

In this work, we introduce a deep learning framework designed to generate a 3D triangular
mesh from a single image. Unlike existing methods that commonly represent 3D shapes …

The paper introduces a logical framework for a Missing People Detection Scheme that
harnesses the capabilities of the Internet of Things (IoT) alongside Human-Computer …

The rampant spread of deepfake videos, a significant threat to media integrity, occurs widely
on social media and news platforms. Detecting Deepfakes is a formidable challenge. The …