Glomerulus Detection Using Segmentation Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-022-00764-y.pdf
Reference37 articles.
1. Bueno, G., Fernandez-Carrobles, M.M., Deniz, O., Garca-Rojo, M.: New trends of emerging technologies in digital pathology. Pathobiology 83(2-3), 61–69 (2016)
2. Janowczyk, A., Madabhushi, A.: Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. Journal of pathology informatics 7 (2016)
3. Hughson, M.D., Puelles, V.G., Hoy, W.E., Douglas-Denton, R.N., Mott, S.A., Bertram, J.F.: Hypertension, glomerular hypertrophy and nephrosclerosis: the effect of race. Nephrology Dialysis Transplantation 29(7), 1399–1409 (2014)
4. Rasch, R., Lauszus, F., Thomsen, J.S., Flyvbjerg, A.: Glomerular structural changes in pregnant, diabetic, and pregnant-diabetic rats. Apmis 113(7-8), 465–472 (2005)
5. Wang, H., Roa, A.C., Basavanhally, A.N., Gilmore, H.L., Shih, N., Feldman, M., Tomaszewski, J., Gonzalez, F., Madabhushi, A.: Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features. Journal of Medical Imaging 1(3), 034003 (2014)
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