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cancerous diseases
forecasts
neural networks (information technology)
machine learning
cancer of the large intestine
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http://www.yso.fi/onto/yso/p678
http://www.yso.fi/onto/yso/p3297
http://www.yso.fi/onto/yso/p7292
http://www.yso.fi/onto/yso/p21846
http://www.yso.fi/onto/yso/p5937
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Petäinen, Liisa
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Informaatioteknologian tiedekunta
Faculty of Information Technology
Informaatioteknologia
Information Technology
Jyväskylän yliopisto
University of Jyväskylä
Tietotekniikka
Mathematical Information Technology
602
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Petäinen, Liisa
Informaatioteknologian tiedekunta
Faculty of Information Technology
Informaatioteknologia
Information Technology
Jyväskylän yliopisto
University of Jyväskylä
Tietotekniikka
Mathematical Information Technology
602
Petäinen, Liisa
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Petäinen, Liisa
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Petäinen, Liisa
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
digital pathology
colorectal cancer
histopathology
medical image analysis
tumor-stroma ratio
neuroverkot
syöpätaudit
koneoppiminen
patologia
konenäkö
paksusuolisyöpä
neural networks (information technology)
cancerous diseases
machine learning
pathology
computer vision
cancer of the large intestine
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Tietotekniikka
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https://jyu.finna.fi/Cover/Show?source=Solr&id=jyx.123456789_81181&index=0&size=large
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| title |
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
|
| title_full |
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
|
| title_fullStr |
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
|
| title_full_unstemmed |
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
|
| title_short |
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
|
| title_sort |
potential of convolutional neural network in the evaluation of tumor stroma ratio from colorectal cancer histopathological images
|
| title_txtP |
The potential of convolutional neural network in the evaluation of tumor-stroma ratio from colorectal cancer histopathological images
|
| topic |
digital pathology
colorectal cancer
histopathology
medical image analysis
tumor-stroma ratio
neuroverkot
syöpätaudit
koneoppiminen
patologia
konenäkö
paksusuolisyöpä
neural networks (information technology)
cancerous diseases
machine learning
pathology
computer vision
cancer of the large intestine
|
| topic_facet |
cancer of the large intestine
cancerous diseases
colorectal cancer
computer vision
digital pathology
histopathology
konenäkö
koneoppiminen
machine learning
medical image analysis
neural networks (information technology)
neuroverkot
paksusuolisyöpä
pathology
patologia
syöpätaudit
tumor-stroma ratio
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http://www.urn.fi/URN:NBN:fi:jyu-202205202813
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AT petäinenliisa thepotentialofconvolutionalneuralnetworkintheevaluationoftumorstromaratiofromcolor
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