Multiscale Multimodal Medical Imaging

First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Häftad, Engelska, 2019

AvQuanzheng Li,Richard Leahy,Bin Dong,Xiang Li

709 kr

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This book constitutes the refereed proceedings of the First International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 13 papers presented were carefully reviewed and selected from 18 submissions.

Produktinformation

Utgivningsdatum2019-12-20
Mått155 x 235 x 7 mm
Vikt195 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor109
FörlagSpringer Nature Switzerland AG
ISBN9783030379681

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it

Multi-Modal Image Prediction via Spatial Hybrid U-Net.- Automatic Segmentation of Liver CT Image Based on Dense Pyramid Network.- OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.- Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data.- Feature Pyramid based Attention for Cervical Image Classification.- Single-scan Dual-tracer Separation Network Based on Pre-trained GRU.- PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation.- Automated Classification of Arterioles and Venules for Retina Fundus Images using Dual Deeply-Supervised Network.- Liver Segmentation from Multimodal Images using HED-Mask R-CNN.- aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection.- Speckle Noise Removal in Ultrasound Images Using A Deep Convolutional Neural Network and A Specially Designed Loss Function.- Automatic Sinus Surgery Skill Assessment Based on Instrument Segmentation and Tracking in Endoscopic Video.- U-Net Training with Instance-Layer Normalization.