Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay

高調(diào)

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經(jīng)典

An Explainable Deep Framework: Towards Task-Specific Fusion for?Multi-to-One MRI Synthesisverage module; (2) highlight the area the network tried to refine during synthesizing by a task-specific attention module. We conduct experiments on the BraTS2021 dataset of 1251 subjects, and results on arbitrary sequence synthesis indicate that the proposed method achieves better performance than

Tailor

evaculate

browbeat

Deference

Noise Conditioned Weight Modulation for?Robust and?Generalizable Low Dose CT Denoisingc benchmark datasets show that the proposed dynamic convolutional layer significantly improves the denoising performance of the baseline network, as well as its robustness and generalization to previously unseen noise levels.

變化

Low-Dose CT Image Super-Resolution Network with?Dual-Guidance Feature Distillation and?Dual-Path ConThe DGFM guides the network to concentrate the feature representation of the 3D inter-slice information in the region of interest (ROI) by introducing the average CT image and segmentation mask as complements of the original LDCT input. Meanwhile, the elaborate SAB utilizes the essential multi-scale

閑聊

Congeal