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221004 ||| eng |
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|a 9783031168765
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| 100 |
1 |
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|a Xu, Xinxing
|e [editor]
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| 245 |
0 |
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|a Resource-Efficient Medical Image Analysis
|h Elektronische Ressource
|b First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings
|c edited by Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2022, 2022
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| 300 |
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|a X, 137 p. 42 illus., 39 illus. in color
|b online resource
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| 505 |
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|a Multi-Task Semi-Supervised Learning for Vascular Network -- Segmentation and Renal Cell Carcinoma Classification -- Self-supervised Antigen Detection Artificial Intelligence (SANDI) -- RadTex: Learning Effcient Radiograph Representations from Text Reports -- Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification -- Triple-View Feature Learning for Medical Image Segmentation -- Classification of 4D fMRI Images Using ML, Focusing on Computational and Memory Utilization Effciency -- An Effcient Defending Mechanism Against Image Attacking On Medical Image Segmentation Models -- Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning -- Pathological Image Contrastive Self-Supervised Learning -- Investigation of Training Multiple Instance Learning Networks with Instance Sampling -- Masked Video Modeling with Correlation-aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound -- A self-attentive meta-learning approach for image-based few-shot disease detection -- Facing Annotation Redundancy: OCT Layer Segmentation with Only 10 Annotated Pixels Per Layer
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Education / Data processing
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| 653 |
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|a Computer Imaging, Vision, Pattern Recognition and Graphics
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Computers and Education
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| 653 |
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|a Computer Application in Social and Behavioral Sciences
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| 653 |
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|a Computer vision
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| 653 |
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|a Social sciences / Data processing
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| 653 |
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|a Image processing / Digital techniques
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| 700 |
1 |
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|a Li, Xiaomeng
|e [editor]
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| 700 |
1 |
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|a Mahapatra, Dwarikanath
|e [editor]
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| 700 |
1 |
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|a Cheng, Li
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Computer Science
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| 028 |
5 |
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|a 10.1007/978-3-031-16876-5
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-16876-5?nosfx=y
|x Verlag
|3 Volltext
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|a 006
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| 520 |
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|a This book constitutes the refereed proceedings of the first MICCAI Workshop on Resource-Efficient Medical Image Analysis, REMIA 2022, held in conjunction with MICCAI 2022, in September 2022 as a hybrid event. REMIA 2022 accepted 13 papers from the 19 submissions received. The workshop aims at creating a discussion on the issues for practical applications of medical imaging systems with data, label and hardware limitations
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