# Prediction of Kidney Function from Biopsy Images Using Convolutional Neural Networks

arXiv: https://arxiv.org/abs/1702.01816 · HTML: https://mlsanity.com/paper/1702.01816/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Feb 2017.

## Built on by (most cited first, 1 of 1)

- [An Investigation into Glomeruli Detection in Kidney H&E and PAS Images using YOLO](https://mlsanity.com/paper/2307.13199/) (2023)

## Abstract (arXiv)

A Convolutional Neural Network was used to predict kidney function in patients with chronic kidney disease from high-resolution digital pathology scans of their kidney biopsies. Kidney biopsies were taken from participants of the NEPTUNE study, a longitudinal cohort study whose goal is to set up infrastructure for observing the evolution of 3 forms of idiopathic nephrotic syndrome, including developing predictors for progression of kidney disease. The knowledge of future kidney function is desirable as it can identify high-risk patients and influence treatment decisions, reducing the likelihood of irreversible kidney decline.