Research Challenges in Cervical Cancer Segmentation and Classification Using Colposcopy Images-Reference-Cited by-同舟云学术

Research Challenges in Cervical Cancer Segmentation and Classification Using Colposcopy Images

Published:2023-08-31 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)
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Author:

Permana Zendi Zakaria Raga¹,Setiawan Agung Wahyu¹

Affiliation:

1. Institut Teknologi Bandung,School of Electrical Engineering and Informatics,Bandung,Indonesia

Funder

Institut Teknologi Bandung

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275798/10276392/10276816.pdf?arnumber=10276816

Reference33 articles.

1. The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence

2. Visual inspection using naked eye and colposcopy as a predictor of high-grade lesions on final histology in hiv-positive and-negative south african women;adams;Southern African Journal of Gynaecological Oncology,2023

3. Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test

4. Application of deep learning to the classification of images from colposcopy

5. Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations

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1. Classification of Cervical Intraepithelial Neoplasia Based on Combination of GLCM and L*a*b* on Colposcopy Image Using Machine Learning;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19