Domain adaptation and representation transfer and medical image learning with less labels and imperfect data : first MICCAI Workshop, DART 2019, and first International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings /: first MICCAI Workshop, DART 2019, and first International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. (2019)
- Record Type:
- Book
- Title:
- Domain adaptation and representation transfer and medical image learning with less labels and imperfect data : first MICCAI Workshop, DART 2019, and first International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings /: first MICCAI Workshop, DART 2019, and first International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. (2019)
- Main Title:
- Domain adaptation and representation transfer and medical image learning with less labels and imperfect data : first MICCAI Workshop, DART 2019, and first International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
- Other Titles:
- DART 2019
MIL3ID 2019 - Further Information:
- Note: Qian Wang, Fausto Milletari, Hien V. Nguyen [and eleven others].
- Editors:
- (Biomedical engineer), Wang, Qian
Milletari, Fausto
Nguyen, Hien V - Other Names:
- DART (Workshop), 1st
MIL3ID (Workshop), 1st
International Conference on Medical Image Computing and Computer-Assisted Intervention, 22nd - Contents:
- DART 2019.- Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation.- Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.- Multi-layer Domain Adaptation for Deep Convolutional Networks.- Intramodality Domain Adaptation using Self Ensembling and Adversarial Training.- Learning Interpretable Disentangled Representations using Adversarial VAEs.- Synthesising Images and Labels Between MR Sequence Types With CycleGAN.- Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning.- Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans.- A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection.- Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images.- Improving Pathological Structure Segmentation Via Transfer Learning Across Diseases.- Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions.- MIL3ID 2019.- Self-supervised learning of inverse problem solvers in medical imaging.- Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation.- A Cascade Attention Network for Liver Lesion Classification in Weakly-labeled Multi-phase CT Images.- CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.- Active Learning Technique for Multimodal Brain TumorDART 2019.- Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation.- Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.- Multi-layer Domain Adaptation for Deep Convolutional Networks.- Intramodality Domain Adaptation using Self Ensembling and Adversarial Training.- Learning Interpretable Disentangled Representations using Adversarial VAEs.- Synthesising Images and Labels Between MR Sequence Types With CycleGAN.- Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning.- Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans.- A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection.- Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images.- Improving Pathological Structure Segmentation Via Transfer Learning Across Diseases.- Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions.- MIL3ID 2019.- Self-supervised learning of inverse problem solvers in medical imaging.- Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation.- A Cascade Attention Network for Liver Lesion Classification in Weakly-labeled Multi-phase CT Images.- CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.- Active Learning Technique for Multimodal Brain Tumor Segmentation using Limited Labeled Images.- Semi-supervised Learning of Fetal Anatomy from Ultrasound.- Multi-modal segmentation with missing MR sequences using pre-trained fusion networks.- More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation.- Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition.- A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation.- Transfer Learning from Partial Annotations for Whole Brain Segmentation.- Learning to Segment Skin Lesions from Noisy Annotations.- A Weakly Supervised Method for Instance Segmentation of Biological Cells.- Towards Practical Unsupervised Anomaly Detection on Retinal Images.- Fine tuning U-Net for ultrasound image segmentation: which layers.- Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xvii, 254 pages), illustrations (some color)
- Subjects:
- 616.07/54
Diagnostic imaging -- Data processing -- Congresses
Electronic books - Languages:
- English
- ISBNs:
- 9783030333911
3030333914 - Related ISBNs:
- 9783030333904
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 14, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.465326
- Ingest File:
- 02_609.xml