Resource-Efficient Medical Image Analysis [electronic resource] : First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings /
Material type: TextSeries: Lecture Notes in Computer Science ; 13543Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2022Edition: 1st ed. 2022Description: X, 137 p. 42 illus., 39 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783031168765
- 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 Sciences
- 006 23
- TA1501-1820
- TA1634
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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