ArticleMedical & biological engineering & computing2021
A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability.
Article in Medical & biological engineering & computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Advancements in fusion-based deep representation learning for enhanced cervical precancerous lesion classification using biomedical image analysis.Scientific reports · 2025Article
- Computer-assisted quantitative framework for whole slide cervical image grading driven by time series features.Scientific reports · 2025Article
- Looking Back, Moving Forward: Challenges and Opportunities for Global Cervical Cancer Prevention and Control.Viruses · 2024Review
- Automated reporting of cervical biopsies using artificial intelligence.PLOS digital health · 2024Article
- Convolutional Neural Networks for Classifying Cervical Cancer Types Using Histological Images.Journal of digital imaging · 2023Article
- A CAD system for automatic dysplasia grading on H&E cervical whole-slide images.Scientific reports · 2023Article
- Automated Cervical Digitized Histology Whole-Slide Image Analysis Toolbox.Journal of pathology informatics · 2021Article
- Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges.Neuro-oncology advancesReview
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Authors and funding
9 authors at 7 institutions in 1 country.
Funding
Abstract
The cervical cancer developing from the precancerous lesions caused by the human papillomavirus (HPV) has been one of the preventable cancers with the help of periodic screening. Cervical intraepithelial neoplasia (CIN) and squamous intraepithelial lesion (SIL) are two types of grading conventions widely accepted by pathologists. On the other hand, inter-observer variability is an important issue for final diagnosis. In this paper, a whole-slide image grading benchmark for cervical cancer precursor lesions is created and the "Uterine Cervical Cancer Database" introduced in this article is the first publicly available cervical tissue microscopy image dataset. In addition, a morphological feature representing the angle between the basal membrane (BM) and the major axis of each nucleus in the tissue is proposed. The presence of papillae of the cervical epithelium and overlapping cell problems are also discussed. Besides that, the inter-observer variability is also evaluated by thorough comparisons among decisions of pathologists, as well as the final diagnosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.