Del 13567 - Lecture Notes in Computer Science

Data Augmentation, Labelling, and Imperfections

Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Häftad, Engelska, 2022

Av Hien V. Nguyen, Sharon X. Huang, Yuan Xue

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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.

Produktinformation

Utgivningsdatum2022-09-22
Mått155 x 235 x 8 mm
Vikt219 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor124
FörlagSpringer International Publishing AG
ISBN9783031170263

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Informationsteknik: allmänt inom Data och it
Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

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.