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Un modelo interpretable basado en aprendizaje supervisado débil para el diagnóstico de tumores de músculo liso

Xiaoxi Wang1, Xiaochen Shen1, Moxuan Yang2

  • 1China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Pathology, research and practice
|December 20, 2025
PubMed
Resumen

Un nuevo modelo de inteligencia artificial (IA) clasifica con precisión los tumores de músculo liso uterino (TMU) como benignos o malignos utilizando solo etiquetas a nivel de portaobjetos. Esta herramienta de IA ayuda a los patólogos, mejorando la precisión y la eficiencia del diagnóstico de estos tumores desafiantes.

Palabras clave:
Inteligencia artificialLeiomiosarcomaSTUMPTumor de músculo liso uterinoAprendizaje supervisado débil

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