Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	DALI (2. : 2022 : Singapur; Online) Data augmentation, labelling, and imperfections
1. Verfasser:	Rusak, Filip (VerfasserIn)
Weitere Verfasser:	Cruz, Rodrigo Santa (VerfasserIn), Smith, Elliot (VerfasserIn), Fripp, Jurgen (VerfasserIn), Fookes, Clinton (VerfasserIn), Bourgeat, Pierrick (VerfasserIn), Bradlev, Andrew P. (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2022
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Titel	Jahr	Verfasser
Image Synthesis-Based Late Stage Cancer Augmentation and Semi-supervised Segmentation for MRI Rectal Cancer Staging	2022	Sasuga, Saeko
Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely	2022	Rusak, Filip
CTooth+: A Large-Scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation	2022	Cui, Weiwei
Disentangling a Single MR Modality	2022	Zuo, Lianrui
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study	2022	Holste, Gregory
TAAL: Test-Time Augmentation for Active Learning in Medical Image Segmentation	2022	Gaillochet, Mélanie
CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants	2022	Tang, Xin
Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning	2022	Lee, Hansang
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays	2022	Moukheiber, Dana
Efficient Medical Image Assessment via Self-supervised Learning	2022	Huang, Chun-Yin
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images	2022	Diaz-Pinto, Andres
A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data	2022	Khalıl, Yasmina Al