Deep Learning with Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images

Deep Learning with Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images

With the increasing amount of image data collected from biomedical experiments there is an urgent need for smarter and more effective analysis methods. Many scientific questions require analysis of image sub-regions related to some specific biology. Finding such regions of interest (ROIs) at low res...

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Bibliographic Details
Main Authors: Friden, M. (Author), Harrison, P.J (Author), Jackson, S. (Author), Karlsson, J. (Author), Skogberg, G. (Author), Spjuth, O. (Author), Wahlby, C. (Author), Wieslander, H. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
article
Biomedical experiments
Computational requirements
Confidence assessment
Conformal prediction
Conformal predictions
deep learning
Deep learning
Deep Learning
digital pathology
hierarchical analysis
Hierarchical analysis
human
Humans
Image analysis
image processing
Image Processing, Computer-Assisted
noise
pipeline
Pipelines
prediction
quantitative analysis
Quantitative measurement
Regions of interest
remission
Semantic segmentation
semantics
Semantics
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