Del 13746 - Lecture Notes in Computer Science

Clinical Image-Based Procedures

11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Häftad, Engelska, 2023

AvYufei Chen,Marius George Linguraru,Raj Shekhar,Stefan Wesarg,Marius Erdt,Klaus Drechsler,Cristina Oyarzun Laura

759 kr

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This book constitutes the proceedings of the 11th Workshop on Clinical Image-Based Procedures, CLIP 2022, which was held in conjunction with MICCAI 2022, in Singapore in September 2022.

Produktinformation

Utgivningsdatum2023-01-10
Mått155 x 235 x 6 mm
Vikt166 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor91
FörlagSpringer International Publishing AG
ISBN9783031231780

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Människa – datorinteraktion inom Data och IT

Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging.- Multi-channel Residual Neural Network Based on Squeeze-and Excitation for Osteoporosis Diagnosis.- Machine Learning Based Approach for Motion Detection andEstimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging.- Automatic Landmark Identification on IntraOralScans.- STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation.- Convolutional Redistribution Network for Multi-View Medical Image Diagnosis.- Feature Patch Based Attention Model for Dental Caries Classification.- Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition.- Automated Cone and Vessel Analysis in Adaptive Optics like RetinalImages for Clinical Diagnostics Support.

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Clinical Image-Based Procedures

11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Du kanske också är intresserad av

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning

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