Reducing the Annotation Cost of Whole Slide Histology Images using Active Learning-Reference-Cited by-同舟云学术

Reducing the Annotation Cost of Whole Slide Histology Images using Active Learning

Published:2021-05-22 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Conference on Image Processing and Machine Vision (IPMV)
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Author:

Jin Xu¹,An Hong¹,Wang Jue²,Wen Ke¹,Wu Zheng¹

Affiliation:

1. University of Science and Technology of China, China

2. The First Affiliated Hospital of USTC, China

Funder

The Fundamental Research Funds for the Central Universities of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3469951.3469960

Reference23 articles.

1. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

2. Samuel Budd Emma C Robinson and Bernhard Kainz. 2019. A survey on active learning and human-in-the-loop deep learning for medical image analysis. arXiv preprint arXiv:1910.02923(2019). Samuel Budd Emma C Robinson and Bernhard Kainz. 2019. A survey on active learning and human-in-the-loop deep learning for medical image analysis. arXiv preprint arXiv:1910.02923(2019).

3. Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs

4. Unsupervised Visual Representation Learning by Context Prediction

5. Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer

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