C Jin, S Wang, G Yang, E Li, Z Liang - Sensors, 2022 - mdpi.com
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 …
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 …
Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou… - Medical Image …, 2024 - Elsevier
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 …
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 …
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 …
H Liebl, D Schinz, A Sekuboyina, L Malagutti… - Scientific data, 2021 - nature.com
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 …
N Heller, F Isensee, D Trofimova, R Tejpaul… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents the challenge report for the 2021 Kidney and Kidney Tumor Segmentation Challenge (KiTS21) held in conjunction with the 2021 international …
R Tao, W Liu, G Zheng - Medical Image Analysis, 2022 - Elsevier
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 …