國立高雄大學圖資館 |

Language: English

Back

Simulation and synthesis in medical ...

(1998 :)

Simulation and synthesis in medical imaging5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simulation and synthesis in medical imagingedited by Ninon Burgos ... [et al.].
Reminder of title:	5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
remainder title:	SASHIMI 2020
other author:	Burgos, Ninon.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	x, 196 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-59520-3
ISBN:	9783030595203$q(electronic bk.)

Simulation and synthesis in medical imaging5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
Simulation and synthesis in medical imaging5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /[electronic resource] :SASHIMI 2020edited by Ninon Burgos ... [et al.]. - Cham :Springer International Publishing :2020. - x, 196 p. :ill., digital ;24 cm. - Lecture notes in computer science,124170302-9743 ;. - Lecture notes in computer science ;4891..

Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis -- 3D Brain MRI GAN-based Synthesis Conditioned on Partial Volume Maps -- Synthesizing Realistic Brain MR Images With Noise Control -- Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth -- Blind MRI Brain Lesion Inpainting Using Deep Learning -- High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations -- A Method for Tumor Treating Fields Fast Estimation -- Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms -- DyeFreeNet: Deep Virtual Contrast CT Synthesis -- A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes -- Frequency-selective Learning for CT to MR Synthesis -- Uncertainty-aware Multi-resolution Whole-body MR to CT Synthesis -- UltraGAN: Ultrasound Enhancement Through Adversarial Generation -- Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities -- An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection -- Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets -- Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images -- Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis -- Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models.

This book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation.

ISBN: 9783030595203$q(electronic bk.)

Standard No.: 10.1007/978-3-030-59520-3doiSubjects--Topical Terms:

387225
Diagnostic imaging
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Simulation and synthesis in medical imaging5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings /
LDR:03496nmm a2200385 a 4500 001 585971
003 DE-He213
005 20200921101356.0
006 m d
007 cr nn 008maaau
008 210323s2020 sz s 0 eng d
020 $a 9783030595203$q(electronic bk.)
020 $a 9783030595197$q(paper)
024 7 $a 10.1007/978-3-030-59520-3 $2 doi
035 $a 978-3-030-59520-3
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b S252 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Simulation and synthesis in medical imaging $h [electronic resource] : $b 5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings / $c edited by Ninon Burgos ... [et al.].
246 3 $a SASHIMI 2020
246 3 $a MICCAI 2020
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 196 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12417
490 1 $a Image processing, computer vision, pattern recognition, and graphics
505 0 $a Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis -- 3D Brain MRI GAN-based Synthesis Conditioned on Partial Volume Maps -- Synthesizing Realistic Brain MR Images With Noise Control -- Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth -- Blind MRI Brain Lesion Inpainting Using Deep Learning -- High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations -- A Method for Tumor Treating Fields Fast Estimation -- Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms -- DyeFreeNet: Deep Virtual Contrast CT Synthesis -- A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes -- Frequency-selective Learning for CT to MR Synthesis -- Uncertainty-aware Multi-resolution Whole-body MR to CT Synthesis -- UltraGAN: Ultrasound Enhancement Through Adversarial Generation -- Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities -- An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection -- Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets -- Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images -- Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis -- Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models.
520 $a This book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation.
650 0 $a Diagnostic imaging $v Congresses. $3 387225
650 0 $a Optical data processing. $3 185609
650 0 $a Machine learning. $3 188639
650 0 $a Pattern perception. $3 182522
650 0 $a Application software. $3 200645
650 1 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Computer Applications. $3 273760
650 2 4 $a Mathematics of Computing. $3 273710
700 1 $a Burgos, Ninon. $3 853549
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Image processing, computer vision, pattern recognition, and graphics. $3 823073
856 4 0 $u https://doi.org/10.1007/978-3-030-59520-3
950 $a Computer Science (SpringerNature-11645)