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The van der Heijde modification of the Sharp (SvdH) score is a widely used radiographic scoring method to quantify damage in Rheumatoid Arthritis (RA) in clinical trials. However, its complexity with a necessity to score each individual…

图像与视频处理 · 电气工程与系统科学 2024-06-17 Zhiyan Bo , Laura C. Coates , Bartlomiej W. Papiez

The Sharp/van der Heijde (SvdH) score has been widely used in clinical trials to quantify radiographic damage in Rheumatoid Arthritis (RA), but its complexity has limited its adoption in routine clinical practice. To address the…

计算机视觉与模式识别 · 计算机科学 2025-08-11 Zhiyan Bo , Laura C. Coates , Bartlomiej W. Papiez

Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radiographs of hands and feet. This is a tedious task which requires trained experts whose subjective assessment leads to low inter-rater agreement. An…

计算机视觉与模式识别 · 计算机科学 2022-05-31 Neelambuj Chaturvedi

Rheumatoid arthritis is an autoimmune disease that causes joint damage due to inflammation in the soft tissue lining the joints known as the synovium. It is vital to identify joint damage as soon as possible to provide necessary treatment…

图像与视频处理 · 电气工程与系统科学 2021-10-19 Yan Ming Tan , Raphael Quek Hao Chong , Carol Anne Hargreaves

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease that results in progressive articular destruction and severe disability. Joint space narrowing (JSN) progression has been regarded as an important indicator for RA…

图像与视频处理 · 电气工程与系统科学 2024-04-01 Haolin Wang , Yafei Ou , Wanxuan Fang , Prasoon Ambalathankandy , Naoto Goto , Gen Ota , Masayuki Ikebe , Tamotsu Kamishima

Recent advancements in computer vision promise to automate medical image analysis. Rheumatoid arthritis is an autoimmune disease that would profit from computer-based diagnosis, as there are no direct markers known, and doctors have to rely…

计算机视觉与模式识别 · 计算机科学 2022-11-07 Krzysztof Maziarz , Anna Krason , Zbigniew Wojna

A computer-aided interpretation approach is proposed to detect rheumatic arthritis (RA) of human finger joints in optical tomographic images. The image interpretation method employs a multi-variate signal detection analysis aided by a…

Rheumatoid arthritis (RA) is an autoimmune disease characterized by systemic joint inflammation. Early diagnosis and tight follow-up are essential to the management of RA, as ongoing inflammation can cause irreversible joint damage. The…

计算机视觉与模式识别 · 计算机科学 2026-02-17 Shun Kato , Yasushi Kondo , Shuntaro Saito , Yoshimitsu Aoki , Mariko Isogawa

Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects peripheral synovial joints, like fingers, wrist and feet. Radiology plays a critical role in the diagnosis and monitoring of RA. Limited by the current spatial…

图像与视频处理 · 电气工程与系统科学 2022-11-02 Yafei Ou , Prasoon Ambalathankandy , Ryunosuke Furuya , Seiya Kawada , Tianyu Zeng , Yujie An , Tamotsu Kamishima , Kenichi Tamura , Masayuki Ikebe

Rheumatoid arthritis (RA) assessment from hand radiographs requires multi-level analysis and modeling of anatomical structures and fine-grained local pathological changes. However, existing public resources do not support such unified…

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and progressive structural damage. Joint space width (JSW) is a critical indicator in conventional radiography for evaluating disease progression,…

图像与视频处理 · 电气工程与系统科学 2025-02-05 Haolin Wang , Yafei Ou , Prasoon Ambalathankandy , Gen Ota , Pengyu Dai , Masayuki Ikebe , Kenji Suzuki , Tamotsu Kamishima

Manual scoring of the Action Research Arm Test (ARAT) for upper extremity assessment in stroke rehabilitation is time-intensive and variable. We propose an automated ARAT scoring system integrating multimodal video analysis with SlowFast,…

计算机视觉与模式识别 · 计算机科学 2025-05-06 Tamim Ahmed , Thanassis Rikakis

Rheumatoid Arthritis (RA) is a chronic, autoimmune disease which primarily affects the joint's synovial tissue. It is a highly heterogeneous disease, with wide cellular and molecular variability observed in synovial tissues. Over the last…

图像与视频处理 · 电气工程与系统科学 2023-09-15 Amaya Gallagher-Syed , Abbas Khan , Felice Rivellese , Costantino Pitzalis , Myles J. Lewis , Gregory Slabaugh , Michael R. Barnes

Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions. Magnetic resonance imaging (MRI) is time demanding but can provide images that are considered gold…

计算机视觉与模式识别 · 计算机科学 2019-04-25 Albert Clèrigues , Sergi Valverde , Jose Bernal , Jordi Freixenet , Arnau Oliver , Xavier Lladó

The examination of Osteoarthritis disease through X-ray by rheumatology can be classified into four grade of severity. This paper discusses about the application of artificial neural network backpropagation method for measuring the severity…

神经与进化计算 · 计算机科学 2013-10-01 Dian Pratiwi , Diaz D. Santika , Bens Pardamean

Accurate planning of transcatheter aortic implantation (TAVI) is important to minimize complications, and it requires anatomic evaluation of the aortic root (AR), commonly done through 3D computed tomography (CT) image analysis. Currently,…

The assessment of knee osteoarthritis (KOA) severity on knee X-rays is a central criteria for the use of total knee arthroplasty. However, this assessment suffers from imprecise standards and a remarkably high inter-reader variability. An…

Currently, every 1 in 54 children have been diagnosed with Autism Spectrum Disorder (ASD), which is 178% higher than it was in 2000. An early diagnosis and treatment can significantly increase the chances of going off the spectrum and…

计算机视觉与模式识别 · 计算机科学 2021-04-05 Spencer He , Ryan Liu

Rheumatoid arthritis (RA) is a common autoimmune disease that has been the focus of research in computer-aided diagnosis (CAD) and disease monitoring. In clinical settings, conventional radiography (CR) is widely used for the screening and…

图像与视频处理 · 电气工程与系统科学 2026-05-15 Songxiao Yang , Haolin Wang , Yao Fu , Ye Tian , Tamotsu Kamishima , Masayuki Ikebe , Yafei Ou , Masatoshi Okutomi

Purpose: To propose and evaluate an accelerated $T_{1\rho}$ quantification method that combines $T_{1\rho}$-weighted fast spin echo (FSE) images and proton density (PD)-weighted anatomical FSE images, leveraging deep learning models for…

图像与视频处理 · 电气工程与系统科学 2025-08-06 Junru Zhong , Chaoxing Huang , Ziqiang Yu , Fan Xiao , Siyue Li , Tim-Yun Michael Ong , Ki-Wai Kevin Ho , Queenie Chan , James F. Griffith , Weitian Chen
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