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Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study
- Source :
- Journal of Medical Internet Research, Vol 23, Iss 2, p e23436 (2021), Journal of Medical Internet Research, Journal of medical internet research 23(2), e23436 (2021). doi:10.2196/23436
- Publication Year :
- 2021
- Publisher :
- JMIR Publications, 2021.
-
Abstract
- Journal of medical internet research 23(2), e23436 (2021). doi:10.2196/23436<br />Published by Healthcare World, Richmond, Va.
- Subjects :
- Computer science
pitfalls
Health Informatics
artifacts
Machine learning
computer.software_genre
lcsh:Computer applications to medicine. Medical informatics
Convolutional neural network
03 medical and health sciences
0302 clinical medicine
Robustness (computer science)
convolutional neural networks
Pathology
Humans
030304 developmental biology
0303 health sciences
Original Paper
Artificial neural network
Learnability
business.industry
Deep learning
lcsh:Public aspects of medicine
Digital pathology
deep learning
lcsh:RA1-1270
artificial intelligence
neural networks
Data set
Variable (computer science)
machine learning
030220 oncology & carcinogenesis
clinical pathology
lcsh:R858-859.7
Artificial intelligence
Neural Networks, Computer
business
digital pathology
computer
Subjects
Details
- Language :
- English
- ISSN :
- 14388871
- Volume :
- 23
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of Medical Internet Research
- Accession number :
- edsair.doi.dedup.....c24d65ae837cda6d28d324c82f1f9c01