人工智能在细胞病理学中的应用:当前的技术水平。

Q1 Medicine
Louis J. Vaickus MD, PhD , Darcy A. Kerr MD , Jaylou M. Velez Torres MD , Joshua Levy PhD
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引用次数: 0

摘要

近年来,细胞病理学的实践有了很大的改进,主要是通过建立特定标本诊断的共识规则集(贝塞斯达、米兰、巴黎等)。一般来说,这些诊断系统的重点是减少观察者内部的差异、去除模糊/多余的分类、减少 "非典型 "诊断的使用、推广使用定量评分系统,同时提供统一的语言来交流这些结果。计算病理学是这一过程的自然分支,因为它承诺通过定量过程提供 100% 可重复的诊断结果,而这些诊断结果不会受到人类从业人员许多偏见的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Applications in Cytopathology
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来源期刊
Surgical Pathology Clinics
Surgical Pathology Clinics Medicine-Surgery
CiteScore
4.40
自引率
0.00%
发文量
73
期刊介绍: This newest addition to the Clinics Series keeps you current on the information that is essential to every practicing surgical pathologist, from the latest techniques and approaches to detailed discussions on differential diagnosis. It devotes each and every issue exclusively to surgical pathology and its associated problems and is enhanced by abundant full-color images. Each issue focuses on a single topic-and is overseen by Guest Editors who are experts in their field-providing information of practical value on service while also offering material that increases understanding.
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