ArticleBioengineering (Basel, Switzerland)2025
Detection of Architectural Dysplastic Features from Histopathological Imagery of Oral Mucosa Using Neural Networks.
Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Oral cancer is a serious illness, but it is potentially curable if early detection can be achieved successfully. Oral epithelial dysplasia (OED), which is a precursor to oral squamous cell carcinoma (OSCC), can provide abnormal characteristics to diagnose the risk of developing oral cancer. This paper proposes a neural network architecture for detecting dysplastic features of epithelial architecture, including irregular epithelial stratification and bulbous rete ridges. The different combinations of atrous convolution, batch normalization, global pooling, and dropout are discussed regarding their effects, along with an ablation study. A signature library containing image patches was constructed and utilized to train the models. The best-performing model in the validation set attained an average accuracy of 97.52%. The results of the blind test from the receiver operating characteristic (ROC) curves show that the best model reached the best probability of detection, 0.8571, for irregular epithelial stratifications and 0.8462 for the bulbous rete ridges.
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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.