Hip fractures are a severe health concern among older adults. While anthropometric factors
have been shown to influence hip fracture risk, the low fidelity of common body composition …

Early assessment of hip fracture risk may play a critical role in designing preventive
mechanisms to reduce the occurrence of hip fracture in geriatric people. The loading …

Classical computational biomechanical approaches are costly and require a high level of
expertise, often limiting their clinical application. A data-driven Machine Learning (ML) …

Prevention of subsequent fracture is a major public health challenge in the field of
osteoporosis prevention and treatment, and older women are at high risk for osteoporotic …

Deep Learning (DL) techniques have recently been used in medical image segmentation
and the reconstruction of 3D anatomies of a human body. In this work, we propose a semi …

Classical computing methods are costly and require advanced skills, limiting their clinical
use. A data-driven framework offers an effective alternative for disease diagnosis and …

The femur is one of the most important bone in the human body, as it supports the body's
weight and helps with movement. The aging global population presents a significant …

Segmentation of femur in QCT image is always challenging due to its complex ball and
socket joint with acetabulum. Recently, deep learning based techniques have been used in …

Deep Learning (DL) based techniques have been proven to be very effective in medical
image segmentation and reconstruction of 3D anatomies of a human body. The success of …

Abstract Machine learning (ML) models have become a game-changer for disease
diagnosis because of their ability to learn, which is promising like human-level performance …