Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection

Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection

8 September 2018

Christian Häne

Papers citing "Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection"

18 / 18 papers shown

Title
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling Ke Yu Yuanmin Tang Giulia DeSalvo Suraj Kothawade Abdullah Rashwan S. Tavakkol Kayhan Batmanghelich Xiaoqi Yin ISeg 32 0 0 28 Sep 2023
Learning to Explore Informative Trajectories and Samples for Embodied Perception Ya Jing Tao Kong 27 5 0 20 Mar 2023
$Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning$ Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning V. Nath Dong Yang H. Roth Daguang Xu 51 25 0 13 Sep 2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation Ziyuan Zhao Wenjing Lu Zeng Zeng Kaixin Xu B. Veeravalli Cuntai Guan 33 8 0 14 May 2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images A. Diaz-Pinto Sachidanand Alle V. Nath Yucheng Tang Alvin Ihsani ... Daguang Xu Prerna Dogra Sebastien Ourselin Andrew Feng M. Jorge Cardoso 32 71 0 23 Mar 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations Daiqing Li Huan Ling Seung Wook Kim Karsten Kreis Adela Barriuso Sanja Fidler Antonio Torralba 36 104 0 12 Jan 2022
Towards General and Efficient Active Learning Yichen Xie Masayoshi Tomizuka Wei Zhan VLM 35 10 0 15 Dec 2021
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao Jincheng Zhu Chengjiang Long Zeyao Zhang Yuxin Wang Z. Du Xin Yang 43 13 0 11 Dec 2021
Boosting Active Learning via Improving Test Performance Tianyang Wang Xingjian Li Pengkun Yang Guosheng Hu Xiangrui Zeng Siyu Huang Chengzhong Xu Min Xu 33 33 0 10 Dec 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 30 66 0 29 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning Jae-Won Cho Dong-Jin Kim Yunjae Jung In So Kweon 16 46 0 23 Jul 2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation Ziyuan Zhao Zeng Zeng Kaixin Xu Cen Chen Cuntai Guan 21 65 0 22 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 35 68 0 07 Jan 2021
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 26 162 0 13 Aug 2020
Semantic Curiosity for Active Visual Learning Devendra Singh Chaplot Helen Jiang Saurabh Gupta Abhinav Gupta ObjD 16 72 0 16 Jun 2020
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model Murtadha D. Hssayeni M. S. M. Croock Ph. D. A. Al-Ani ... M. D. Zakaria A. Yahya M. D. Behnaz Ghoraani Ph. D OOD 19 161 0 18 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 38 752 0 27 Aug 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 39 571 0 31 Mar 2019