Contour features for colposcopic image classification by artificial neural networks-Reference-Cited by-同舟云学术

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Contour features for colposcopic image classification by artificial neural networks

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Container-title:Object recognition supported by user interaction for service robots
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Author:

Claude I.,Winzenrieth R.,Pouletaut P.,Boulanger J.-C.

Publisher

IEEE Comput. Soc

Link

http://xplorestaging.ieee.org/ielx5/8091/22378/01044872.pdf?arnumber=1044872

Cited by 12 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. Hybrid Transfer Learning for Classification of Uterine Cervix Images for Cervical Cancer Screening;Journal of Digital Imaging;2019-12-17

2. Transfer Learning for Classification of Uterine Cervix Images for Cervical Cancer Screening;Lecture Notes in Electrical Engineering;2019-12-01

3. Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach;2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE);2019-10

4. Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies;IEEE Access;2018

5. Classification of Images Acquired with Colposcopy Using Artificial Neural Networks;Cancer Informatics;2014-01

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