Revisiting the utility of identifying nuclear grooves as unique nuclear changes by an object detector model.
Pedro R F RendeJoel Machado PiresKátia Sakimi NakadairaSara LopesJoão ValeFabio HechtFabyan E L BeltrãoGabriel J R MachadoEdna T KimuraCatarina EloyHelton E RamosPublished in: Journal of pathology and translational medicine (2024)
The model was able to develop a structure predictor rule, indicating that the application of an artificial intelligence model based on object detection in the identification of nuclear grooves is feasible. Associated with a reduction in interobserver variability and in time per slide, this demonstrates that nuclear evaluation constitutes one of the possibilities for refining the diagnosis through computational models.