ArticleVeterinary pathology2023
Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images.
Article in Veterinary pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Review of applications of deep learning in veterinary diagnostics and animal health.Frontiers in veterinary science · 2025Pooled it
- Machine learning-assisted detection of canine mammary tumors using serum autoantibody signatures.The veterinary quarterly · 2026Article
- Generative AI in Veterinary Pathology: Feasibility of a GPT-Based Assistive Tool for Gross, Cytologic, and Histopathologic Assessment of Canine Cutaneous Neoplasms-A Pilot Study.Animals : an open access journal from MDPI · 2026Article
- Differentiation of common histological lesions in bovine liver using convolutional neural network-based deep learning.Open veterinary journal · 2026Article
- The Expanding Role of Artificial Intelligence in Companion Animal Care: A Systematic Review.Animals : an open access journal from MDPI · 2026Review
- Artificial intelligence predictsVeterinary pathology · 2026Article
- Histopathological diagnosis of Ovine Pulmonary Adenocarcinoma (OPA) based on ensemble model.BMC veterinary research · 2026Article
- The influence, promise, and potential perils of artificial intelligence in veterinary medicine: a call for improved awareness and literacy.Journal of veterinary internal medicine · 2026Article
- Every Tumour Counts: A Comprehensive Overview of Canine Oncology in Portugal.Animals : an open access journal from MDPI · 2025Article
- The application of artificial intelligence in veterinary oncology: a scoping review.BMC veterinary research · 2025Article
- Development of criteria to optimize manual smear review of automated complete blood counts using a machine learning model.Veterinary clinical pathology · 2025Article
- Unveiling the Genetic Landscape of Canine Papillomavirus in the Brazilian Amazon.Microorganisms · 2025Article
- Article
- Lesion Localization and Pathological Diagnosis of Ovine Pulmonary Adenocarcinoma Based on MASK R-CNN.Animals : an open access journal from MDPI · 2024Article
- Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility.Veterinary sciences · 2024Article
- Review of Molecular Technologies for Investigating Canine Cancer.Animals : an open access journal from MDPI · 2024Review
- Histological classification of canine and feline lymphoma using a modular approach based on deep learning and advanced image processing.Scientific reports · 2023Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microscopic evaluation of hematoxylin and eosin-stained slides is still the diagnostic gold standard for a variety of diseases, including neoplasms. Nevertheless, intra- and interrater variability are well documented among pathologists. So far, computer assistance via automated image analysis has shown potential to support pathologists in improving accuracy and reproducibility of quantitative tasks. In this proof of principle study, we describe a machine-learning-based algorithm for the automated diagnosis of 7 of the most common canine skin tumors: trichoblastoma, squamous cell carcinoma, peripheral nerve sheath tumor, melanoma, histiocytoma, mast cell tumor, and plasmacytoma. We selected, digitized, and annotated 350 hematoxylin and eosin-stained slides (50 per tumor type) to create a database divided into training,
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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.