03945nam 22007455 450 991059503250332120251225201926.09783031170270303117027X10.1007/978-3-031-17027-0(CKB)5850000000078348(MiAaPQ)EBC7102130(Au-PeEL)EBL7102130(PPN)264953274(BIP)85784444(BIP)85408879(DE-He213)978-3-031-17027-0(EXLCZ)99585000000007834820220921d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Augmentation, Labelling, and Imperfections Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings /edited by Hien V. Nguyen, Sharon X. Huang, Yuan Xue1st ed. 2022.Cham :Springer Nature Switzerland :Imprint: Springer,2022.1 online resource (134 pages)Lecture Notes in Computer Science,1611-3349 ;13567Includes index.9783031170263 3031170261 Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging -- DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images -- Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study -- Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely -- TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation -- Disentangling A Single MR Modality -- CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation -- Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning -- CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants -- A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data -- Efficient Medical Image Assessment via Self-supervised Learning -- Few-ShotLearning Geometric Ensemble for Multi-label Classification of Chest X-rays.This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.Lecture Notes in Computer Science,1611-3349 ;13567Image processingDigital techniquesComputer visionArtificial intelligenceComputersApplication softwareComputer Imaging, Vision, Pattern Recognition and GraphicsArtificial IntelligenceComputing MilieuxComputer and Information Systems ApplicationsImage processingDigital techniques.Computer vision.Artificial intelligence.Computers.Application software.Computer Imaging, Vision, Pattern Recognition and Graphics.Artificial Intelligence.Computing Milieux.Computer and Information Systems Applications.616.0754610.285631Huang Sharon X.Xue YuanNguyen Hien V.MiAaPQMiAaPQMiAaPQBOOK9910595032503321Data augmentation, labelling, and imperfections3023491UNINA