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TrustNet: una red ligera con cuantificación de incertidumbre integrada e IA explicable cuantitativa para la detección

Mahesh Anil Inamdar1, Anjan Gudigar2, U Raghavendra1

  • 1Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.

Scientific reports
|February 19, 2026
PubMed
Resumen

No abstract available in PubMed .

Palabras clave:
aprendizaje profundodetección de accidente cerebrovascular isquémicodropout de Monte Carlocuantificación de incertidumbreIA explicable

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