000 | 04451nam a22006255i 4500 | ||
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_a9783031188145 _9978-3-031-18814-5 |
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_a10.1007/978-3-031-18814-5 _2doi |
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_aMultiscale Multimodal Medical Imaging _h[electronic resource] : _bThird International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / _cedited by Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Li. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2022. |
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300 |
_aVIII, 131 p. 46 illus., 42 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13594 |
|
505 | 0 | _aM^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. | |
520 | _aThis book constitutes the refereed proceedings of the Third International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2022, held in conjunction with MICCAI 2022 in singapore, in September 2022. The 12 papers presented were carefully reviewed and selected from 18 submissions. The MMMI workshop aims to advance the state of the art in multi-scale multi-modal medical imaging, including algorithm development, implementation of methodology, and experimental studies. The papers focus on medical image analysis and machine learning, especially on machine learning methods for data fusion and multi-score learning. | ||
650 | 0 |
_aComputer vision. _9164821 |
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650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aComputers. _98172 |
|
650 | 0 |
_aApplication software. _9164822 |
|
650 | 1 | 4 |
_aComputer Vision. _9164823 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComputing Milieux. _955441 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _9164824 |
700 | 1 |
_aLi, Xiang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9164825 |
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700 | 1 |
_aLv, Jinglei. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9164826 |
|
700 | 1 |
_aHuo, Yuankai. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9164827 |
|
700 | 1 |
_aDong, Bin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9164828 |
|
700 | 1 |
_aLeahy, Richard M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9164829 |
|
700 | 1 |
_aLi, Quanzheng. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9164830 |
|
710 | 2 |
_aSpringerLink (Online service) _9164831 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031188138 |
776 | 0 | 8 |
_iPrinted edition: _z9783031188152 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13594 _923263 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-18814-5 |
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