TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation

16 January 2023

Papers citing "TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation"

6 / 6 papers shown

Title
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time Chiao-An Yang Ziwei Liu Raymond A. Yeh 15 1 0 01 Oct 2024
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation Zihao Luo Xiangde Luo Zijun Gao Guotai Wang OOD 18 0 0 03 Jul 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation Marianne Rakic Hallee E. Wong Jose Javier Gonzalez Ortiz Beth Cimini John Guttag Adrian V. Dalca 12 2 0 24 Jan 2024
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation Han Liu Hao Li Xing Yao Yubo Fan Dewei Hu Benoit M. Dawant V. Nath Zhoubing Xu I. Oguz VLM 30 10 0 22 Jul 2023
Active learning for medical image segmentation with stochastic batches Mélanie Gaillochet Christian Desrosiers H. Lombaert UQCV 12 20 0 18 Jan 2023
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 149 194 0 16 Oct 2019