Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

15 June 2017

Papers citing "Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation"

32 / 82 papers shown

Title
How useful is Active Learning for Image-based Plant Phenotyping? Koushik Nagasubramanian Talukder Z. Jubery Fateme Fotouhi Ardakani S. Mirnezami Asheesh K. Singh Arti Singh S. Sarkar Baskar Ganapathysubramanian VLM 26 16 0 07 Jun 2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation Jingyang Zhang Guotai Wang Hongzhi Xie Shuyang Zhang Ning Huang Shaoting Zhang Lixu Gu 35 41 0 27 May 2020
Batch Decorrelation for Active Metric Learning Priyadarshini Kumari Ritesh Goru Siddhartha Chaudhuri Subhasis Chaudhuri 21 7 0 20 May 2020
Deeply Supervised Active Learning for Finger Bones Segmentation Ziyuan Zhao Xiaoyan Yang B. Veeravalli Zeng Zeng 27 13 0 07 May 2020
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types L. Hou Rajarsi R. Gupta John S. Van Arnam Yuwei Zhang Kaustubh Sivalenka Dimitris Samaras Tahsin M. Kurc Joel H. Saltz 24 45 0 18 Feb 2020
Reinforced active learning for image segmentation Arantxa Casanova Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal 21 108 0 16 Feb 2020
Active Learning for Entity Alignment M. Berrendorf Evgeniy Faerman Volker Tresp 27 17 0 24 Jan 2020
Active Learning for Segmentation Based on Bayesian Sample Queries Firat Özdemir Z. Peng Philipp Fürnstahl C. Tanner O. Goksel 33 22 0 22 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 21 59 0 11 Dec 2019
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis Xueying Shi Qi Dou Cheng Xue J. Qin Hao Chen Pheng-Ann Heng 20 38 0 05 Sep 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 33 751 0 27 Aug 2019
A Weakly Supervised Method for Instance Segmentation of Biological Cells F. Guerrero-Peña Pedro Diamel Marrero Fernández Ing Ren Tsang Alexandre Cunha 17 14 0 26 Aug 2019
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling Yuta Hiasa Y. Otake Masaki Takao Takeshi Ogawa Nobuhiko Sugano Yoshinobu Sato 21 109 0 21 Jul 2019
A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images Yanyuet Man Xiangyun Ding Xingcheng Yao Han Bao MedIm 14 0 0 03 Jul 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 27 652 0 09 May 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 39 570 0 31 Mar 2019
Segmentation of Roots in Soil with U-Net Abraham George Smith Jens Petersen Raghavendra Selvan C. Rasmussen 19 122 0 28 Feb 2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank Xialei Liu Joost van de Weijer Andrew D. Bagdanov SSL 28 174 0 17 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 26 200 0 15 Feb 2019
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation Suraj Mishra Peixian Liang A. Czajka Danny Chen X. S. Hu MedIm 16 27 0 06 Jan 2019
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation Hao Zheng Yizhe Zhang Lin Yang Peixian Liang Zhuo Zhao Chaoli Wang Danny Chen 3DV 31 75 0 10 Dec 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation Radek Mackowiak Philip Lenz Omair Ghori Ferran Diego O. Lange Carsten Rother 37 108 0 23 Oct 2018
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net Yang Deng Yao Sun Yongpei Zhu Mingwang Zhu Wei Han Kehong Yuan 18 13 0 19 Jul 2018
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy Firat Özdemir Z. Peng C. Tanner Philipp Fürnstahl O. Goksel 20 28 0 18 Jul 2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran M. Reyes GAN MedIm 19 176 0 14 Jun 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images S. Graham Hao Chen Jevgenij Gamper Qi Dou Pheng-Ann Heng David R. J. Snead Yee Wah Tsang Nasir M. Rajpoot MedIm 19 301 0 05 Jun 2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation L. Yang Yizhe Zhang Zhuo Zhao Hao Zheng Peixian Liang M. Ying A. Ahuja Danny Chen 21 31 0 02 Jun 2018
Learn the new, keep the old: Extending pretrained models with new anatomy and images Firat Özdemir Philipp Fürnstahl Orçun Göksel CLL 33 48 0 01 Jun 2018
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs Peixian Liang Jianxu Chen Pavel A. Brodskiy Qinfeng Wu Yejia Zhang Yizhe Zhang L. Yang J. Zartman Danny Chen 78 6 0 01 Feb 2018
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation Ling Zhang Vissagan Gopalakrishnan Le Lu Ronald M. Summers J. Moss Jianhua Yao MedIm 29 38 0 25 Jan 2018
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning Yang Nan Gianmarc Coppola Q. Liang Kunlin Zou Wei Sun Dan Zhang Yaonan Wang Guanzhen Yu 23 7 0 20 Dec 2017
Unsupervised Histopathology Image Synthesis L. Hou Ayush Agarwal Dimitris Samaras Tahsin M. Kurc Rajarsi R. Gupta Joel H. Saltz MedIm 16 64 0 13 Dec 2017