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HLDnet: Novel deep learning based Artificial Intelligence tool fuses acetic acid and Lugol’s iodine cervicograms for accurate pre-cancer screening

  • Published:2022-01 Issue: Volume:71 Page:103163
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Yan Ling,Song Haoxuan,Guo Yi,Ren Peng,Zhou Wenhui,Li Shufeng,Yang Jingjing,Shen Xingfa

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Cited by 8 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. Exploring explainable artificial intelligence techniques for evaluating cervical intraepithelial neoplasia (CIN) diagnosis using colposcopy images;Expert Systems with Applications;2024-09

2. An Evaluative Investigation of Deep Learning Models by Utilizing Transfer Learning and Fine-Tuning for Cervical Cancer Screening of Whole Slide Pap-Smear Images;2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA);2023-10-27

3. Research Challenges in Cervical Cancer Segmentation and Classification Using Colposcopy Images;2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);2023-08-31

4. CervicoXNet: an automated cervicogram interpretation network;Medical & Biological Engineering & Computing;2023-04-26

5. HDFCN: A Robust Hybrid Deep Network Based on Feature Concatenation for Cervical Cancer Diagnosis on WSI Pap Smear Slides;BioMed Research International;2023-04-17
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