Multiscale Multimodal Medical Imaging: Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings: Lecture Notes in Computer Science, cartea 13594
Editat de Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Lien Limba Engleză Paperback – 14 oct 2022
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Specificații
ISBN-13: 9783031188138
ISBN-10: 3031188136
Pagini: 131
Ilustrații: VIII, 131 p. 46 illus., 42 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2022
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031188136
Pagini: 131
Ilustrații: VIII, 131 p. 46 illus., 42 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2022
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
M^2F: Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis.- Visual Modalities based Multimodal Fusion for Surgical Phase Recognition.- Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.- Vessel Segmentation via Link Prediction of Graph Neural Networks.- A Bagging Strategy-Based Multi-Scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.- Liver Segmentation Quality Control in Multi-Sequence MR Studies.- Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI.- Gabor Filter-Embedded U-Net with Transformer-based Encoding for Biomedical Image Segmentation.- Learning-based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study.- Coordinate Translator for Learning Deformable Medical Image Registration.- Towards Optimal Patch Size in Vision Transformers forTumor Segmentation.- Improve Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT scans