Artificial neural network based nuclei segmentation on cytology pleural effusion images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8269764/8279682/08279748.pdf?arnumber=8279748
Cited by 6 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. A Novel Validated Real-World Dataset for the Diagnosis of Multiclass Serous Effusion Cytology according to the International System and Ground-Truth Validation Data;Acta Cytologica;2024
2. Semi-supervised Semantic Segmentation of Effusion Cytology Images Using Adversarial Training;Computer Vision and Machine Intelligence;2023
3. What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review;Computerized Medical Imaging and Graphics;2021-07
4. Artificial intelligence-based techniques for analysis of body cavity fluids: a review;Artificial Intelligence Review;2021-01-08
5. An ensemble of fine-tuned fully convolutional neural networks for pleural effusion cell nuclei segmentation;Computers & Electrical Engineering;2020-01
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