Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study-Reference-Cited by-同舟云学术

Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study

Published:2021-03-27 Issue:6 Volume:129 Page:1837-1856
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Yan Hong,Mao Xuanyu,Yang Xu,Xia Yongquan,Wang Chengbin,Wang Junjun,Xia Rui,Xu Xuejing,Wang Zhiqiang,Li Zhiyang,Zhao Xie,Li Yan,Liu Guoye,He Li,Wang Zhongyu,Wang Zhiqiong,Li Zhiqiang,Cai Weidong,Shen Han,Chang Hang^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s11263-021-01449-9.pdf

Reference48 articles.

1. Ahn, E., Kumar, A., Fulham, M., Feng, D., & Kim, J. (2019). Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Analysis, 56, 140–151.

2. Bengio, Y., Courville, A., & Vincent, P. (2013). Representation learning: A review and new perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8), 1798–1828.

3. Chang, H., Zhou, Y., Borowsky, A., Barner, K. E., Spellman, P. T., & Parvin, B. (2015). Stacked predictive sparse decomposition for classification of histology sections. International Journal of Computer Vision, 113(1), 3–18.

4. Chollet, F. (2017). Xception: Deep learning with depthwise separable convolutions. In 2017 IEEE conference on computer vision and pattern recognition (CVPR) (pp. 1800–1807).

5. Deng, J., Dong, W., Socher, R., Li, L., Li, K., & Li, F. (2009). Imagenet: A large-scale hierarchical image database. In 2009 IEEE computer society conference on computer vision and pattern recognition (CVPR 2009), 20–25 June 2009, Miami, Florida, USA (pp. 248–255).

Cited by 5 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. Deep U_ClusterNet: automatic deep clustering based segmentation and robust cell size determination in white blood cell;Multimedia Tools and Applications;2023-08-25

2. Leukemia segmentation and classification: A comprehensive survey;Computers in Biology and Medicine;2022-11

3. 3D hand pose and shape estimation from RGB images for keypoint-based hand gesture recognition;Pattern Recognition;2022-09

4. iCEMIGE: Integration of CEll-morphometrics, MIcrobiome, and GEne biomarker signatures for risk stratification in breast cancers;World Journal of Clinical Oncology;2022-07-24

5. Feature Extraction of White Blood Cells Using CMYK-Moment Localization and Deep Learning in Acute Myeloid Leukemia Blood Smear Microscopic Images;IEEE Access;2022