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AutoKidneyCyst

The "AutoKidneyCyst" package consists of the source code for the research study, "Automatic Semantic Segmentation of Kidney Cysts in MR Images of Patients Affected by Autosomal Dominant Polycystic Kidney Disease." The study developed a fully automated tool for measurement of cyst volumes from MR images of patients affected by ADPKD. This software is made available so that it may be of use to the scientific and clinical communities. The source codes can be run independently from the command line.

References

Main Manuscript: (Under Review) Automatic Semantic Segmentation of Kidney Cysts in MR Images of Patients Affected by Autosomal Dominant Polycystic Kidney Disease

VGG-like architecture from: Kline TL, Korfiatis P, Edwards ME, Blais J, Czerwiec F, Harris PC, King BF, Torres VE, Erickson BJ. Performance of an artificial multi-observer deep neural network for fully automated segmentation of polycystic kidneys. J Digit Imaging. 30(4):442-448, 2017.

Inception block architecture from: Van Gastel MDA, Edwards ME, Torres VE, Erickson BJ, Gansevoort, RT. Kline TL. Automatic measurement of kidney and liver volumes from MR images of patients affected by autosomal dominant polycystic kidney disease. J Am Soc Nephrol. 30(8):1514-1522, 2019.

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- Timothy Lee Kline

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