Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images-Reference-Cited by-同舟云学术

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Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Published:2019-10-04 Issue: Volume: Page:
ISSN:2049-9450
Container-title:Molecular and Clinical Oncology
language:
Short-container-title:mol clin onc

Author:

Miyagi Yasunari¹,Takehara Kazuhiro²,Miyake Takahito³

Affiliation:

1. Medical Data Labo, Okayama 703‑8267, Japan

2. Department of Gynecologic Oncology, National Hospital Organization, Shikoku Cancer Center, Matsuyama, Ehime 791‑0208, Japan

3. Department of Obstetrics and Gynecology, Miyake Clinic, Okayama 701‑0204, Japan

Publisher

Spandidos Publications

Subject

Cancer Research,Oncology

Cited by 32 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. An improved classification diagnosis approach for cervical images based on deep neural networks;Pattern Analysis and Applications;2024-07-03

2. Knowledge on Human Papillomavirus Infections, Cancer Biology, Immune Interactions, Vaccination Coverage and Common Treatments: A Comprehensive Review;Viral Immunology;2024-06-01

3. Artificial Intelligence and Colposcopy: Automatic Identification of Cervical Squamous Cell Carcinoma Precursors;Journal of Clinical Medicine;2024-05-20

4. An opportunity for using artificial intelligence in modern gynecology;Obstetrics, Gynecology and Reproduction;2024-05-06

5. Revolutionizing Women’s Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology;Journal of Clinical Medicine;2024-02-13

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