Feb 1, 2020 · We proposed an automated spinal curvature estimation framework for comprehensive assessment of AIS with two methods. In Method-1, we implement a ...
In order to estimate the spinal curvature, we propose two methods to detect the spinal keypoints at first. In Method-1, we use a RetinaNet to predict the ...
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In order to estimate the spinal curvature, we propose two methods to detect the spinal keypoints at first. In Method-1, we use a RetinaNet to predict.
Therefore, accurate automated quantitative estimation of spinal curvature is an important task for the clinical evaluation and treatment planning of Scoliosis.
Missing: Keypoint | Show results with:Keypoint
This work was made during our participation to the Accurate Automated Spinal Curvature Estimation (AASCE) MICCAI challenge in 2019. Check out the paper here ...
Therefore, accurate automated quantitative estimation of spinal curvature is an important task for the clinical evaluation and treatment planning of. Scoliosis.
May 30, 2024 · Automated Cobb angle estimation based on X-ray images plays an important role in scoliosis diagnosis, treatment, and progression surveillance.
We present a new Adaptive Error Correction Net (AEC-Net) to formulate the estimation of Cobb anges from spinal X-rays as a high-precision regression task.
The goal of MICCAI 2019 Challenge on accurate automated spinal curvature estimation and error correction from x-ray images is to investigate (semi-)automatic ...
We design a multi-task framework for joint learning of vertebra detection and landmark prediction, which can improve both performance.