Full bibliography
Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma
Resource type
Authors/contributors
- Cheng, Andrew (Author)
- Icaza, Michael (Author)
- Judd, Nicholas (Author)
- Smith, Jason (Author)
- Mukherjee, Sushmita (Author)
- Jain, Manu (Author)
- Wu, Binlin (Author)
Title
Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma
Abstract
Multiphoton microscopy images of chromophobe renal cell carcinoma and renal oncocytoma were classified using a convolutional neural network inspired by techniques in recent architectures and yielded over 70% accuracy.
Proceedings Title
Frontiers in Optics + Laser Science 2021 (2021), paper JTh5A.80
Conference Name
Frontiers in Optics
Publisher
Optica Publishing Group
Date
2021/11/01
Pages
JTh5A.80
Citation Key
chengConvolutionalNeuralNetwork2021
Accessed
6/2/22, 2:16 PM
Language
EN
Library Catalog
License
© 2021 The Author(s)
Extra
0 citations (Crossref) [2023-10-31]
Citation
Cheng, A., Icaza, M., Judd, N., Smith, J., Mukherjee, S., Jain, M., & Wu, B. (2021). Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma. Frontiers in Optics + Laser Science 2021 (2021), Paper JTh5A.80, JTh5A.80. https://doi.org/10.1364/FIO.2021.JTh5A.80
Link to this record