Image analysis for moving organ, breast, and thoracic images : third International Workshop, RAMBO 2018, fourth International Workshop, BIA 2018, and first International Workshop, TIA 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings

Responsibility
Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel et al. (eds.).
Digital
text file
PDF
Publication
Cham : Springer, 2018.
Physical description
1 online resource (xiv, 350 pages) : illustrations
Series
Lecture notes in computer science ; 11040.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.

Online

Available online

Report a connection problem

More options

Description

Contents/Summary

Contents
  • Application to Body Composition Measurements on CT scans.- 3D Pulmonary Artery Segmentation from CTA Scans using Deep Learning with Realistic Data Augmentation.- Automatic Airway Segmentation in chest CT using Convolutional Neural Networks.- Detecting Out-of-phase Ventilation Using 4DCT to Improve Radiation Therapy for Lung Cancer.- XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-derived Motion Model.- Rigid Lens
  • Locally Rigid Approximations of Deformable Registration for Change Assessment in Thorax-Abdomen CT Follow-Up Scan.- Diffeomorphic Lung Registration using Deep CNNs and Reinforced Learning.- Transfer learning approach to predict biopsy-confirmed malignancy of lung nodules from imaging data: a pilot study.- Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis.- Towards an automatic lung cancer screening system in low dose computed tomography.- Automatic classification of centrilobular emphysema on.
Summary
This book constitutes the refereed joint proceedings of the Third International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2018, the Fourth International Workshop on Breast Image Analysis, BIA 2018, and the First International Workshop on Thoracic Image Analysis, TIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers (out of 10 submissions) presented at RAMBO, the 9 full papers (out of 18 submissions) presented at BIA, and the 20 full papers (out of 21 submissions) presented at TIA were carefully reviewed and selected. The RAMBO papers cover aspects of medical imaging where motion plays a role in the image formation or analysis. The BIA papers deal with topics such as computer-aided detection and diagnosis of breast cancer, quantitative analysis of breast imaging modalities, and large scale breast image screening and analysis. The TIA papers cover aspects of image analysis research for lung and cardiac diseases including segmentation, registration, quantification, modeling of the image acquisition process, visualization, validation, statistical modeling, biophysical lung modeling (computational anatomy), deep learning and novel applications.

Bibliographic information

Publication date
2018
Title variation
RAMBO 2018
BIA 2018
TIA 2018
Series
Lecture notes in computer science ; 11040
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Note
International conference proceedings.
Includes author index.
ISBN
9783030009465 (electronic bk.)
3030009467 (electronic bk.)
9783030009472 (print)
3030009475
9783030009458 (print)
3030009459
DOI
10.1007/978-3-030-00946-5

Browse related items

Start at call number:
View full page
Librarian view | Catkey: 13900898