Titlebook: Machine Learning in Medical Imaging; 13th International W Chunfeng Lian,Xiaohuan Cao,Zhiming Cui Conference proceedings 2022 Springer Natur

ALTER

外來

人造

,A More Design-Flexible Medical Transformer for?Volumetric Image Segmentation, encoders, decoders and skip connections. Due to the intrinsic property of convolutional kernels, convolution-based encoders suffer from limited receptive fields. To deal with that, recently proposed Transformer-based networks leveraging the self-attention mechanism build long-range dependency. Howe

Collected

,Dcor-VLDet: A Vertebra Landmark Detection Network for?Scoliosis Assessment with?Dual Coordinate Sysprove cure rates and the quality of life for patients. The spinal disease assessment relies primarily on accurate vertebra landmark detection, such as scoliosis assessment. However, existing approaches do not adequately exploit the relationships between vertebrae and analyze the global spine structu

transplantation

,Plug-and-Play Shape Refinement Framework for?Multi-site and?Lifespan Brain Skull Stripping,een proposed, they suffer from low generalization capability. For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters. Especially, for the lifespan datasets, the model trained on an adult dataset is not

Tremor

,A Coarse-to-Fine Network for?Craniopharyngioma Segmentation,uity, visual field disorders, and pituitary hypothalamus dysfunction. Segmentation of CP is an essential prerequisite in the diagnosis, screening, and treatment. Also, It’s a challenging task due to the indistinguishable borders, the small tumor size, and high diversity in size, shape, and texture.

lymphoma

,Patch-Level Instance-Group Discrimination with?Pretext-Invariant Learning for?Colitis Scoring,ation and therapy monitoring. Presently, endoscopic characterisation is largely operator dependant leading to sometimes undesirable clinical outcomes for patients with IBD. We focus on the Mayo Endoscopic Scoring (MES) system which is widely used but requires the reliable identification of subltle c

Benign

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ZEST