A Novel Machine Learning Model for the Automated Diagnosis of Nasal Pathology in Canine Patients
(2025)
Journal Article
Istrate, A., Constantinescu, R., Anandavel, L., Rajeshkumar Tandel, S., Dye, S., & Dye, C. (2025). A Novel Machine Learning Model for the Automated Diagnosis of Nasal Pathology in Canine Patients. Animals, 15(12), Article 1718. https://doi.org/10.3390/ani15121718
Computed tomography (CT) is the imaging method of choice for evaluating the canine nasal cavity, being invaluable in determining disease extent, guiding sampling, and planning treatment. While predictions of pathology type can be made, there is signi... Read More about A Novel Machine Learning Model for the Automated Diagnosis of Nasal Pathology in Canine Patients.