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Reliable Oral Cancer Classification Framework with Bayesian Deep Learning
- Source :
- Frontiers in Optics / Laser Science.
- Publication Year :
- 2020
- Publisher :
- Optica Publishing Group, 2020.
-
Abstract
- Standard deep learning algorithms for clinical image classification are unable to understand their confidence in a decision. We developed a Bayesian deep network could estimate uncertainty to assess the reliability of oral cancer image classification.
- Subjects :
- Cancer classification
Contextual image classification
Artificial neural network
Image quality
Computer science
business.industry
Deep learning
Bayesian probability
02 engineering and technology
021001 nanoscience & nanotechnology
Machine learning
computer.software_genre
01 natural sciences
010309 optics
0103 physical sciences
Medical imaging
Artificial intelligence
0210 nano-technology
business
computer
Reliability (statistics)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Frontiers in Optics / Laser Science
- Accession number :
- edsair.doi...........8f2a73adb0d944a41f0e6e60ad25efd3