割公牛膨胀
发表于 2025-3-23 12:08:08
Robust 3D Organ Localization with Dual Learning Architectures and Fusionaluations. Object search evidence obtained from three orientations and different learning architectures is consolidated through fusion schemes to lead to the target organ location. Experiments conducted using 499 patient CT body scans show promise and robustness of the proposed approach.
Melodrama
发表于 2025-3-23 16:26:02
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结果
发表于 2025-3-23 19:57:31
Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networksss longitudinal data, a novel contribution in the domain of MS lesion analysis. The method was tested on the ISBI 2015 dataset and obtained state-of-the-art Dice results with the performance level of a trained human rater.
木讷
发表于 2025-3-23 23:34:34
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remission
发表于 2025-3-24 04:14:11
Fully Convolutional Network for Liver Segmentation and Lesions Detectioneriority of the FCN over all other methods tested. Using our fully automatic algorithm we achieved true positive rate of 0.86 and 0.6 false positive per case which are very promising and clinically relevant results.
Urea508
发表于 2025-3-24 07:51:00
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EXULT
发表于 2025-3-24 13:07:26
Designed Technologies for Healthy Aging segmentation and tracking. We evaluate our method on datasets from histology, fluorescence and phase contrast microscopy and show that it outperforms state of the art cell detection and segmentation methods.
antidote
发表于 2025-3-24 15:50:34
https://doi.org/10.1007/978-3-031-01598-4ap each input 3T patch to the 7T-like image patch. Our performance is evaluated on 15 subjects, each with both 3T and 7T MR images. Both visual and numerical results show that our method outperforms the comparison methods.
抱负
发表于 2025-3-24 22:40:08
https://doi.org/10.1007/978-1-4471-1268-6 to segment the image into relevant landmarks, and define a set of post-processing rules to translate the segmentations into Graf’s metrics. Comparing our pipeline to estimates made by experts in DDH diagnosis shows promising results.
诗集
发表于 2025-3-25 01:33:50
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