Resource-Efficient Medical Image Analysis

First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings

AvXinxing Xu,Xiaomeng Li

Häftad, Engelska, 2022

Del 13543 i serien Lecture Notes in Computer Science

585 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-09-11
Mått:155 x 235 x 9 mm
Vikt:236 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:137
Förlag:Springer International Publishing AG
ISBN:9783031168758

Utforska kategorier

Innehållsförteckning

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.

Du kanske också är intresserad av

Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles - Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, Häftad

Del 14394

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles

Häftad, 2024

839 kr

Resource-Efficient Medical Image Analysis

Huazhu Fu, Caroline Petitjean, Li Cheng, Dwarikanath Mahapatra, Xiaomeng Li, Xinxing Xu

E-bok

2022

742 kr

Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops

Benoit Presles, Caroline Petitjean, Li Cheng, Dwarikanath Mahapatra, Xiaomeng Li, Xinxing Xu, Jinglei Lv, Yuankai Huo, Hao Chen, Bin Dong, Richard Leahy, Quanzheng Li, Christian F. Baumgartner, Mauricio Reyes, Elmar Kotter, Valentina Corbetta, Regina Beets Tan, Max De Grauw, Pritam Mukherjee, Tejas S. Mathai, Sanjay Purushotham, Fangxu Xing, Xiaofeng Liu, Huazhu Fu, Xiang Li, Wilson Silva, Alessa Hering, Jonghye Woo