A Deep-Learning-Based Artificial Intelligence System for the Pathology Diagnosis of Uterine Smooth Muscle Tumor

A Deep-Learning-Based Artificial Intelligence System for the Pathology Diagnosis of Uterine Smooth Muscle Tumor

We aimed to develop an artificial intelligence (AI) diagnosis system for uterine smooth muscle tumors (UMTs) by using deep learning. We analyzed the morphological features of UMTs on whole-slide images (233, 108, and 30 digital slides of leiomyosarcomas, leiomyomas, and smooth muscle tumors of uncer...

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Bibliographic Details
Main Authors: Haiyun Yu, Shaoze Luo, Junyu Ji, Zhiqiang Wang, Wenxue Zhi, Na Mo, Pingping Zhong, Chunyan He, Tao Wan, Yulan Jin
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Life
Subjects:
smooth muscle tumor
leiomyosarcoma
artificial intelligence
training set
Online Access:https://www.mdpi.com/2075-1729/13/1/3

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https://www.mdpi.com/2075-1729/13/1/3

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