Scoliosis is a common disease of the spine and requires regular monitoring due to its
progressive properties. A preferred indicator to assess scoliosis is by the Cobb angle, which …

The transformer is primarily used in the field of natural language processing. Recently, it has
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …

Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …

Purpose To present a deep learning segmentation model that can automatically and
robustly segment all major anatomic structures on body CT images. Materials and Methods …

People with late-stage Parkinson's disease (PD) often suffer from debilitating locomotor
deficits that are resistant to currently available therapies. To alleviate these deficits, we …

With the advent of deep learning algorithms, fully automated radiological image analysis is
within reach. In spine imaging, several atlas-and shape-based as well as deep learning …

This paper presents the challenge report for the 2021 Kidney and Kidney Tumor
Segmentation Challenge (KiTS21) held in conjunction with the 2021 international …

Prior to the deep learning era, shape was commonly used to describe the objects.
Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly …

In this paper, we address the problem of fully automatic labeling and segmentation of 3D
vertebrae in arbitrary Field-Of-View (FOV) CT images. We propose a deep learning-based …

Abstract Osteoporotic Vertebral Fracture (OVFs) is a common lumbar spine disorder that
severely affects the health of patients. With a clear bone blocks boundary, CT images have …