A Spatially Guided Machine-Learning Method to Classify and Quantify Glomerular Patterns of Injury in Histology Images.

Justinas BesusparisMindaugas MorkunasArvydas Laurinavicius

Published in: Journal of imaging (2023)

We propose a spatially guided CNN classifier that in our experiments reveals the potential to achieve high accuracy for the localization of intraglomerular patterns.

Keyphrases

machine learning
convolutional neural network
deep learning
artificial intelligence
optical coherence tomography
big data
human health
climate change
endothelial cells