Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
about
Lung cancer prognosis: can histological patterns and morphological features have a role in the management of lung cancer patients?Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images.A two-stage approach of gene network analysis for high-dimensional heterogeneous data.Deep learning based tissue analysis predicts outcome in colorectal cancer.Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks.Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome.
P2860
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
description
2016 nî lūn-bûn
@nan
2016 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
@ast
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
@en
type
label
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
@ast
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
@en
prefLabel
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
@ast
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
@en
P2093
P2860
P1476
Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
@en
P2093
Adi Gazdar
Faming Liang
Guanghua Xiao
Jaime Rodriguez-Canales
Junzhou Huang
P2860
P304
P356
10.1016/J.JTHO.2016.10.017
P577
2016-11-04T00:00:00Z