@inproceedings{d409f97ebcf845c689dd276b917f1948,
title = "Imbalance-Effective Active Learning in Nucleus, Lymphocyte and Plasma Cell Detection",
abstract = "An Imbalance-Effective Active Learning (IEAL) based deep neural network algorithm is proposed for the automatic detection of nucleus, lymphocyte and plasma cells in hepatitis diagnosis. The active sampling approach reduces the training sample annotation cost and mitigates extreme imbalances among the nucleus, lymphocytes and plasma samples. A Bayesian U-net model is developed by incorporating IEAL with basic U-Net. The testing results obtained using an in-house dataset consisting of 43 whole slide images (300 256 * 256 images) show that the proposed method achieves an equal or better performance compared than a basic U-net classifier using less than half the number of annotated samples.",
author = "Li, {Chao Ting} and Tsai, {Hung Wen} and Yang, {Tseng Lung} and Lin, {Jung Chi} and Chow, {Nan Haw} and Hu, {Yu Hen} and Cheng, {Kuo Sheng} and Chung, {Pau Choo}",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 3rd International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the 2nd International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 ; Conference date: 04-10-2020 Through 08-10-2020",
year = "2020",
doi = "10.1007/978-3-030-61166-8_24",
language = "English",
isbn = "9783030611651",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "223--232",
editor = "Jaime Cardoso and Wilson Silva and Ricardo Cruz and {Van Nguyen}, Hien and Badri Roysam and Nicholas Heller and {Henriques Abreu}, Pedro and {Pereira Amorim}, Jose and Ivana Isgum and Vishal Patel and Kevin Zhou and Steve Jiang and Ngan Le and Khoa Luu and Raphael Sznitman and Veronika Cheplygina and Samaneh Abbasi and Diana Mateus and Emanuele Trucco",
booktitle = "Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings",
address = "Germany",
}
