Foot progression angle (FPA) analysis is one of the core methods to detect gait pathologies
as basic information to prevent foot injury from excessive in-toeing and out-toeing. Deep …

The biggest challenge for architecture designers is the time required for the design process.
Especially landscape architects who have different work limits from architects in general. In …

Featured Application In this study, the left and right footprint images were predicted based
on deep learning object detection models. YOLOv4 models are the most balanced deep …

Quantitative muscle function analysis based on ultrasound imaging, has been used for
various applications, particularly with recent development of deep learning methods. The …

Shoulder pain and injuries present significant challenges to researchers and clinicians for
diagnosing underlying structural changes due to the complexity of the shoulder joint …

Sentiment analysis (SA) involves utilizing natural language processing (NLP) methods to
identify the sentiment conveyed by a given text. This study is grounded on the dataset …

In ultrasound imaging, sonographers are tasked with analyzing scans for diagnostic
purposes; a challenging task, especially for novice sonographers. Deep Learning methods …

This research article discusses the implementation aspects of a Deep Learning architecture
based on U-Net for medical image segmentation. A base model of the U-Net architecture is …

Preventing diabetic foot ulcers (DFU) is critical for diabetes mellitus (DM) patients. Increased
stiffness of plantar foot may cause higher plantar pressure leading to a higher risk of DFU …

Tracking objects in ultrasound images presents a challenge, particularly in dynamic
scenarios that involve patient movement or irregular objects with high noise. This work is …