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245 1 0 _aResource-Efficient Medical Image Analysis
_h[electronic resource] :
_bFirst MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings /
_cedited by Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2022.
300 _aX, 137 p. 42 illus., 39 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13543
505 0 _aMulti-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.
520 _aThis 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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650 0 _aComputer vision.
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650 0 _aSocial sciences
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650 1 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
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650 2 4 _aArtificial Intelligence.
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650 2 4 _aComputers and Education.
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650 2 4 _aComputer Application in Social and Behavioral Sciences.
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700 1 _aXu, Xinxing.
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700 1 _aLi, Xiaomeng.
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700 1 _aMahapatra, Dwarikanath.
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700 1 _aCheng, Li.
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700 1 _aPetitjean, Caroline.
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700 1 _aFu, Huazhu.
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830 0 _aLecture Notes in Computer Science,
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