Blood Cell Images Segmentation using Deep Learning Semantic Segmentation-Reference-Cited by-同舟云学术

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Blood Cell Images Segmentation using Deep Learning Semantic Segmentation

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Electronics and Communication Engineering (ICECE)
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Author:

Tran Thanh,Kwon Oh-Heum,Kwon Ki-Ryong,Lee Suk-Hwan,Kang Kyung-Won

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8642559/8644726/08644754.pdf?arnumber=8644754

Cited by 71 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. Multi-headed U-Net: an automated nuclei segmentation technique using Tikhonov filter-based unsharp masking;Smart Science;2024-07-10

2. EfficientSwin: A Hybrid Model for Blood Cell Classification with Saliency Maps Visualization;2024 35th Conference of Open Innovations Association (FRUCT);2024-04-24

3. Using Multiclass Semantic Segmentation for Close Boundaries and Overlapping Blood Cells;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

4. Unsupervised cell segmentation by invariant information clustering;Medical Imaging 2024: Image Processing;2024-04-02

5. Machine Learning and Computer Vision Based Methods for Cancer Classification: A Systematic Review;Archives of Computational Methods in Engineering;2024-02-12

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