Deep learning based tissue analysis predicts outcome in colorectal cancer.

about

Predicting Infectious Disease Using Deep Learning and Big Data Quantitative Analyses of the Tumor Microenvironment Composition and Orientation in the Era of Precision Medicine Artificial intelligence, machine learning and health systems

P2860

Q57174402-F8BC92BD-9DE4-48C4-AFF8-835E46EDA320 Q57492123-6782E6EA-3BD7-45D4-857A-EBA1BF70B963 Q58550074-4A87B633-8E74-45BE-9155-E37EA746201A

P2860

Deep learning based tissue analysis predicts outcome in colorectal cancer.

Item

http://www.wikidata.org/entity/Q50332434

description

2018 nî lūn-bûn

@nan

2018年の論文

@ja

2018年学术文章

@wuu

2018年学术文章

@zh

2018年学术文章

@zh-cn

2018年学术文章

@zh-hans

2018年学术文章

@zh-my

2018年学术文章

@zh-sg

2018年學術文章

@yue

2018年學術文章

@zh-hant

name

Deep learning based tissue analysis predicts outcome in colorectal cancer.

@en

Deep learning based tissue analysis predicts outcome in colorectal cancer.

@nl

type

Item

label

Deep learning based tissue analysis predicts outcome in colorectal cancer.

@en

Deep learning based tissue analysis predicts outcome in colorectal cancer.

@nl

prefLabel

Deep learning based tissue analysis predicts outcome in colorectal cancer.

@en

Deep learning based tissue analysis predicts outcome in colorectal cancer.

@nl

P1476

Deep learning based tissue analysis predicts outcome in colorectal cancer.

@en

P2093

Caj Haglund

http://www.w3.org/2001/XMLSchema#string

Clare Verrill

http://www.w3.org/2001/XMLSchema#string

Dmitrii Bychkov

http://www.w3.org/2001/XMLSchema#string

Johan Lundin

http://www.w3.org/2001/XMLSchema#string

Margarita Walliander

http://www.w3.org/2001/XMLSchema#string

Mikael Lundin

http://www.w3.org/2001/XMLSchema#string

Panu E Kovanen

http://www.w3.org/2001/XMLSchema#string

Stig Nordling

http://www.w3.org/2001/XMLSchema#string

P2860

Artificial neural networks for diagnosis and survival prediction in colon cancer

Prognostic stratification of colorectal cancer patients: current perspectives

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Deep learning

Novel image markers for non-small cell lung cancer classification and survival prediction

Dermatologist-level classification of skin cancer with deep neural networks

The role of balanced training and testing data sets for binary classifiers in bioinformatics.

Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis

Controversies in the pathological assessment of colorectal cancer

Flat minima.

P304

3395

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/S41598-018-21758-3

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Riku Turkki

Nina Linder

P577

2018-02-21T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29467373

http://www.w3.org/2001/XMLSchema#string

P921

colorectal cancer

deep learning

P932

5821847

http://www.w3.org/2001/XMLSchema#string

Deep learning based tissue analysis predicts outcome in colorectal cancer.

about

P2860

P2860

Deep learning based tissue analysis predicts outcome in colorectal cancer.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P921

P932