Obstacle
发表于 2025-3-25 04:09:56
Deep Convolutional Neural Networks Using U-Net for Automatic Brain Tumor Segmentation in Multimodal ation datasets, which include a total of 351 multimodal MRI volumes of different patients with HGG and LGG tumors representing different shapes, giving promising and objective results close to manual segmentation performances obtained by experienced neuro-radiologists. On the challenge validation da
愉快么
发表于 2025-3-25 08:44:50
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繁荣中国
发表于 2025-3-25 12:27:45
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Ccu106
发表于 2025-3-25 17:33:45
Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer the decoder network localize and recover the object details more effectively. These connections allow the network to simultaneously incorporate high-level features along with pixel-level details. A new aggregated loss function helps in effectively handling data imbalance. The integrated segmentatio
moratorium
发表于 2025-3-26 00:00:19
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legislate
发表于 2025-3-26 04:02:14
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凹室
发表于 2025-3-26 06:42:06
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带伤害
发表于 2025-3-26 10:23:39
Glioma Prognosis: Segmentation of the Tumor and Survival Prediction Using Shape, Geometric and Clini regression on the extracted features using an artificial neural network (ANN). Our model achieves a mean dice score of 89.78%, 82.53% and 76.54% for the whole tumor, tumor core and enhancing tumor respectively in segmentation task and 67.9% in overall survival prediction task with the validation se
diskitis
发表于 2025-3-26 14:26:02
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Incorruptible
发表于 2025-3-26 19:30:46
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