Application and Development of Artificial Intelligence in A Pathological Study of Urinary System Tumors / 肿瘤防治研究
Cancer Research on Prevention and Treatment
;
(12): 113-118, 2023.
Artículo
en Chino
| WPRIM
| ID: wpr-986689
ABSTRACT
Global Cancer Statistics for 2020 show that urinary system tumors account for approximately 13% of the total number of cancers. At present, the diagnostic methods of urinary system tumors are imaging, endoscopy, and pathological examination. As the gold standard of tumor diagnosis, pathological examination has problems such as lack of pathologists and long operation time. Artificial intelligence (AI), with a strong ability for pathology image recognition and feature analysis, can be used as an auxiliary diagnosis. It has realized automatic diagnosis, typing, staging, grading, and prognosis prediction in several urinary system tumors. However, AI still has many shortcomings, which limit its clinical application. This article will review the progress of AI and its application in the pathological study of urinary system tumors.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
Cancer Research on Prevention and Treatment
Año:
2023
Tipo del documento:
Artículo
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