ArticleOncology letters2018
Application of deep learning to the classification of images from colposcopy.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics.European journal of nuclear medicine and molecular imaging · 2019Pooled it
- Artificial intelligence-based magnetic resonance imaging for preoperative staging of patients with endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2025Article
- Prospects and challenges of deep learning in gynecologic malignancies.Frontiers in oncology · 2025Review
- Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study.Fundamental research · 2025Article
- A Dual-Branch Residual Network with Attention Mechanisms for Enhanced Classification of Vaginal Lesions in Colposcopic Images.Bioengineering (Basel, Switzerland) · 2024Article
- Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology.Journal of clinical medicine · 2024Review
- Detecting and localizing cervical lesions in colposcopic images with deep semantic feature mining.Frontiers in oncology · 2024Article
- A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features.Nature machine intelligence · 2024Article
- Pivotal Clinical Study to Evaluate the Efficacy and Safety of Assistive Artificial Intelligence-Based Software for Cervical Cancer Diagnosis.Journal of clinical medicine · 2023Article
- ColpoClassifier: A Hybrid Framework for Classification of the Cervigrams.Diagnostics (Basel, Switzerland) · 2023Article
- Predicting cervical intraepithelial neoplasia and determining the follow-up period in high-risk human papillomavirus patients.Frontiers in oncology · 2023Article
- Radiomics Diagnostic Tool Based on Deep Learning for Colposcopy Image Classification.Diagnostics (Basel, Switzerland) · 2022Article
- Simplified Convolutional Neural Network Application for Cervix Type Classification via Colposcopic Images.Bioengineering (Basel, Switzerland) · 2022Article
- A Weakly Supervised Deep Learning Method for Guiding Ovarian Cancer Treatment and Identifying an Effective Biomarker.Cancers · 2022Article
- Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening.Healthcare (Basel, Switzerland) · 2022Article
- Computer-aided diagnosis of cervical dysplasia using colposcopic images.Frontiers in oncology · 2022Article
- Chronic Cervicitis and Cervical Cancer Detection Based on Deep Learning of Colposcopy Images Toward Translational Pharmacology.Frontiers in pharmacology · 2022Article
- A pilot study of mobile digital colposcopy in Japanese patients with cervical intraepithelial neoplasm.Molecular and clinical oncology · 2021Article
- Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images.Scientific reports · 2021Article
- Machine Learning in Modeling of Mouse Behavior.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of the present study was to investigate whether deep learning could be applied successfully to the classification of images from colposcopy. For this purpose, a total of 158 patients who underwent conization were enrolled, and medical records and data from the gynecological oncology database were retrospectively reviewed. Deep learning was performed with the Keras neural network and TensorFlow libraries. Using preoperative images from colposcopy as the input data and deep learning technology, the patients were classified into three groups [severe dysplasia, carcinoma
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