Differentiating noninvasive follicular thyroid neoplasm with papillary-like nuclear features from classic papillary thyroid carcinoma: Analysis of cytomorphologic descriptions using a novel machine-learning approach

Differentiating noninvasive follicular thyroid neoplasm with papillary-like nuclear features from classic papillary thyroid carcinoma: Analysis of cytomorphologic descriptions using a novel machine-learning approach

Background: Recent studies show various cytomorphologic features that can assist in the differentiation of classic papillary thyroid carcinoma (cPTC) from noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP). Differentiating these two entities changes the clinical man...

Full description

Bibliographic Details
Main Authors: Sara Maleki, Amin Zandvakili, Shweta Gera, Seema D Khutti, Adam Gersten, Samer N Khader
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2019-01-01
Series:Journal of Pathology Informatics
Subjects:
cytology
machine-learning
noninvasive follicular thyroid neoplasm with papillary-like nuclear features
papillary thyroid carcinoma
support vector machine
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2019;volume=10;issue=1;spage=29;epage=29;aulast=Maleki

Internet

http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2019;volume=10;issue=1;spage=29;epage=29;aulast=Maleki

Similar Items