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Machine Learning Streamlines the Morphometric Characterization and Multiclass Segmentation of Nuclei in Different Follicular Thyroid Lesions: Everything in a NUTSHELL

Vincenzo L’Imperio, Vasco Coelho, Giorgio Cazzaniga, Daniele M. Papetti, Fabio Del Carro, Giulia Capitoli, Mario Arturo González Mariño, Joranda Ceku, Nicola Fusco, Mariia Ivanova, Andrea Gianatti, Marco S. Nobile, Stefania Galimberti, Daniela Besozzi, Fabio Pagni

2024Modern Pathology12 citationsDOIOpen Access PDF

Topics & Concepts

SegmentationPathologyStreamlines, streaklines, and pathlinesThyroidClass (philosophy)Follicular phaseMedicineArtificial intelligenceAnatomyComputer sciencePhysicsInternal medicineThermodynamicsThyroid Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingAI in cancer detection
Machine Learning Streamlines the Morphometric Characterization and Multiclass Segmentation of Nuclei in Different Follicular Thyroid Lesions: Everything in a NUTSHELL | Litcius