Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network-Reference-Cited by-同舟云学术

Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network

Published:2018 Issue: Volume: Page:580-588
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
language:
Short-container-title:

Author:

Mahapatra Dwarikanath,Bozorgtabar Behzad,Thiran Jean-Philippe,Reyes Mauricio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00934-2_65

Reference16 articles.

1. Gal, Y., Islam, R., Ghahramani, Z.: Deep Bayesian active learning with image data. In: Proceedings of the International Conference on Machine Learning (2017)

2. van Ginneken, B., Stegmann, M., Loog, M.: Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database. Med. Image Anal. 10(1), 19–40 (2006)

3. Goodfellow, I., et al.: Generative adversarial nets. In: Proceedings of the NIPS, pp. 2672–2680 (2014)

4. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the CVPR (2016)

5. Isola, P., Zhu, J., Zhou, T., Efros, A.: Image-to-image translation with conditional adversarial networks. In: CVPR (2017)

Cited by 116 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification;Medical Image Analysis;2024-10

2. Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework;Biomedical Signal Processing and Control;2024-10

3. GAN based augmentation using a hybrid loss function for dermoscopy images;Artificial Intelligence Review;2024-08-07

4. One-shot neuroanatomy segmentation through online data augmentation and confidence aware pseudo label;Medical Image Analysis;2024-07

5. A comprehensive survey on deep active learning in medical image analysis;Medical Image Analysis;2024-07