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REMIA (Workshop) (2022 :)

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Resource-efficient medical image analysis = first MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Resource-efficient medical image analysis/ edited by Xinxing Xu ... [et al.].
Reminder of title:	first MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022 : proceedings /
remainder title:	REMIA 2022
other author:	Xu, Xinxing.
corporate name:	REMIA (Workshop)
Published:	Cham :Springer Nature Switzerland : : 2022.,
Description:	x, 137 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-16876-5
ISBN:	9783031168765

Resource-efficient medical image analysis = first MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022 : proceedings /
Resource-efficient medical image analysisfirst MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022 : proceedings /[electronic resource] :REMIA 2022edited by Xinxing Xu ... [et al.]. - Cham :Springer Nature Switzerland :2022. - x, 137 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,135430302-9743 ;. - Lecture notes in computer science ;13543..

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.

ISBN: 9783031168765

Standard No.: 10.1007/978-3-031-16876-5doiSubjects--Topical Terms:

893542
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Resource-efficient medical image analysis = first MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022 : proceedings /
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