Automatic detection of calcium phosphate deposit plugs at the terminal ends of kidney tubules

Automatic detection of calcium phosphate deposit plugs at the terminal ends of kidney tubules

Kidney stones are a common urologic condition with a high amount of recurrence. Recurrence depends on a multitude of factors the incidence of precursors to kidney stones, plugs, and plaques. One method of characterising the stone precursors is endoscopic assessment, though it is manual and time-cons...

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Bibliographic Details
Main Authors: Katrina Fernandez, Mark Korinek, Jon Camp, John Lieske, David Holmes
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Healthcare Technology Letters
Subjects:
learning (artificial intelligence)
medical image processing
entropy
endoscopes
image segmentation
kidney
image coding
convolutional neural nets
calcium compounds
automatic detection
calcium phosphate deposit plugs
kidney tubules
kidney stones
plaque
stone precursors
endoscopic assessment
deep learning
semantic segmentation
renal papilla
u-net model
resnet-34 encoder
class imbalance problem
jaccard-cross-entropy loss function
focal loss function
dropout rate
endoscopic image
urologic condition
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0086

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https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0086

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