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Resource-Efficient Medical Image Analysis [electronic resource] : First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings / edited by Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu.

Contributor(s): Xu, Xinxing [editor.] | Li, Xiaomeng [editor.] | Mahapatra, Dwarikanath [editor.] | Cheng, Li [editor.] | Petitjean, Caroline [editor.] | Fu, Huazhu [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 13543Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: X, 137 p. 42 illus., 39 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031168765.Subject(s): Image processing -- Digital techniques | Computer vision | Artificial intelligence | Education -- Data processing | Social sciences -- Data processing | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence | Computers and Education | Computer Application in Social and Behavioral SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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.

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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