Titlebook: Computational Mathematics Modeling in Cancer Analysis; Second International Wenjian Qin,Nazar Zaki,Chao Li Conference proceedings 2023 The

UNT

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Three-Dimensional Velocity-Map Imaging,es. Finally, a Transformer integrated with subtype contrastive loss is proposed for effective aggregation and WSI-level prediction. Experimental results on the dataset from cooperative hospital demonstrate the effectiveness of our proposed framework. The BM-SMIL framework has the potential to enhanc

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Lecture Notes in Computer Scienceset for the training and validation of segmentation and prediction tasks. Experimental results demonstrate that our model enhances the accuracy of brain tumor survival prediction and exhibits superior generalizability. The source code is available at: ..

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https://doi.org/10.1007/BFb0030514for effectively adapting to the variable characteristics of liver and tumor geometries, boundary shapes to achieve more accurate segmentation of HCC on Gd-EOB-DTPA MRI images. We conducted validation experiments on Gd-EOB-DTPA MRI images from 25 HCC patients, and the results demonstrated Dice and Io

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Lecture Notes in Computer Scienceto Domain Adversarial Neural Network (DANN)-based model to improve the generalization performance of the shared segmentation network. Experimental results show that our method achieves the best performance on the cross-modality cervical tumor segmentation task compared to current state-of-the-art UD

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