poliosis
发表于 2025-3-26 22:37:20
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaion, we participated in the international challenge “Accurate Automated Spinal Curvature Estimation, MICCAI 2019” (100 scans). On the challenge’s test set, we obtained an average symmetric mean absolute percentage error of 22.96.
legislate
发表于 2025-3-27 03:55:52
Automated Spinal Curvature Assessment from X-Ray Images Using Landmarks Estimation Network via Rotat proposals are co-registered and fed into stage-two fully convoluted network (FCN) for vertebrate landmarks detection. The performance of proposed method is more robust than traditional landmarks segmentation networks for datasets with large variance, with a SMAPE score of 25.4784.
goodwill
发表于 2025-3-27 07:01:13
Sturm-Liouville Theory and its Applicationso test the generalization ability of the two trained networks. Research results show that the segmentation performance of semi-cGAN and fewshot-GAN is slightly superior to 3D U-Net for automatic segmenting lumbosacral structures on thin-layer CT with fewer labeled data.
Duodenitis
发表于 2025-3-27 10:28:45
Springer Undergraduate Mathematics Series in numbers. A delicate postprocess of clustering is proposed to deal with dense keypoint predictions due to the freedom of patch selections. After fusing Method-1 and Method-2, we achieve competitive results on the public leaderboard of AASCE2019 challenge.
Relinquish
发表于 2025-3-27 14:43:47
http://reply.papertrans.cn/24/2327/232691/232691_35.png
Expand
发表于 2025-3-27 21:26:54
Spectral Theory in the Singular Caseformation, we make the fusion of the pyramidal features and extend the base model by adding an extra branch for spinal segmentation. We evaluate our method on the validation set from the challenge (Accurate Automated Spinal Curvature Estimation, MICCAI 2019) and obtain a symmetric mean absolute percentage error of 12.97.
Alpha-Cells
发表于 2025-3-27 23:00:21
http://reply.papertrans.cn/24/2327/232691/232691_37.png
alcoholism
发表于 2025-3-28 03:50:10
Accurate Automated Keypoint Detections for Spinal Curvature Estimation in numbers. A delicate postprocess of clustering is proposed to deal with dense keypoint predictions due to the freedom of patch selections. After fusing Method-1 and Method-2, we achieve competitive results on the public leaderboard of AASCE2019 challenge.
雪白
发表于 2025-3-28 06:30:27
http://reply.papertrans.cn/24/2327/232691/232691_39.png
Chameleon
发表于 2025-3-28 11:50:12
A Multi-task Learning Method for Direct Estimation of Spinal Curvatureformation, we make the fusion of the pyramidal features and extend the base model by adding an extra branch for spinal segmentation. We evaluate our method on the validation set from the challenge (Accurate Automated Spinal Curvature Estimation, MICCAI 2019) and obtain a symmetric mean absolute percentage error of 12.97.