ArticleTranslational vision science & technology2020
Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.
Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 44 citations in OpenAlex.
- Review
- High-throughput strategy for targeting MDM2 in uveal melanoma to reverse radiation therapy resistance.Cell death discovery · 2026Article
- A Multitask Deep Learning Approach for Tumor Segmentation and Morphological Quantification in Acral Melanoma Whole-Slide Images.Journal of imaging informatics in medicine · 2026Article
- [Feature distillation multiple instance learning method based on sequence reorganized Mamba].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- Monosomy 3 Prediction by Clinical Features and BAP1 Staining and Its Value When Integrated in Liverpool Uveal Melanoma Prognosticator Online (LUMPO3).Investigative ophthalmology & visual science · 2025Article
- Article
- Heterogeneity and molecular landscape of melanoma: implications for targeted therapy.Molecular biomedicine · 2024Review
- Resistance to immune checkpoint therapies by tumour-induced T-cell desertification and exclusion: key mechanisms, prognostication and new therapeutic opportunities.British journal of cancer · 2023Review
- Clinical Applications of Machine Learning in the Management of Intraocular Cancers: A Narrative Review.Investigative ophthalmology & visual science · 2023Review
- Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients.Biological procedures online · 2023Article
- Gain of Chromosome 6p Correlates with Severe Anaplasia, Cellular Hyperchromasia, and Extraocular Spread of Retinoblastoma.Ophthalmology science · 2022Article
- Prognostic Implications of Six Altered Genes in Asian Non-Surgical Esophageal Carcinoma Patients Treated with Chemoradiotherapy.OncoTargets and therapy · 2022Article
- Primary cytotoxic T-cell lymphomas harbor recurrent targetable alterations in the JAK-STAT pathway.Blood · 2021Article
- Deep Learning of Histopathological Features for the Prediction of Tumour Molecular Genetics.Diagnostics (Basel, Switzerland) · 2021Review
- Bioinformatic Analysis Reveals Central Role for Tumor-Infiltrating Immune Cells in Uveal Melanoma Progression.Journal of immunology research · 2021Article
- Integrative Predictive Modeling of Metastasis in Melanoma Cancer Based on MicroRNA, mRNA, and DNA Methylation Data.Frontiers in molecular biosciences · 2021Article
- Prognosis Prediction of Uveal Melanoma After Plaque Brachytherapy Based on Ultrasound With Machine Learning.Frontiers in medicine · 2021Article
- Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling.Frontiers in molecular biosciences · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. Monosomy 3 and Methods: One hundred forty H&E-stained UMs were scanned at 40 × magnification, using commercially available WSI image scanners. The training cohort comprised 66 BAP1 Results: The trained model with best performance achieved area under the curve values of 0.90 for patches and 0.93 for slides on the test set. Conclusions: Our results show the effectiveness of DL for predicting nBAP1 expression in UM on the basis of H&E sections only. Translational Relevance: Our pilot demonstrates a high capacity of artificial intelligence-related techniques for automated prediction on the basis of histomorphology, and may be translatable into routine histology laboratories.
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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.