Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study.

Fatemeh HomayouniehRuhani Doda KheraBernardo Canedo BizzoShadi EbrahimianAndrew PrimakBernhard SchmidtSanjay SainiMannudeep K Kalra

Published in: Abdominal radiology (New York) (2020)

Automated segmentation and radiomics of entire kidneys can assess hydronephrosis presence, stone burden, and treatment strategies for renal calculi with AUCs > 0.85.

Keyphrases

deep learning
lymph node metastasis
contrast enhanced
urinary tract
machine learning
convolutional neural network
risk factors
high throughput
squamous cell carcinoma
computed tomography
editorial comment