Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma Conference Paper
| Authors: | Cheng, A.; Icaza, M.; Judd, N.; Smith, J.; Mukherjee, S.; Jain, M.; Wu, B. |
| Title: | Convolutional Neural Network for Binary Classification of Chromophobe Renal Cell Carcinoma and Oncocytoma |
| Conference Title: | Frontiers in Optics + Laser Science 2021 |
| 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. © Optica Publishing Group 2021, © 2021 The Author(s) |
| Keywords: | renal cell carcinoma; multiphoton microscopy; convolution; convolutional neural network; convolutional neural networks; microscopy images; classifieds; binary classification |
| Journal Title | Optics InfoBase Conference Papers |
| Conference Dates: | 2021 Nov 1-4 |
| Conference Location: | Washington, DC |
| ISBN: | 978-1-55752-308-2 |
| Publisher: | Optica Publishing Group (formerly Osa) |
| Date Published: | 2021-01-01 |
| Start Page: | JTh5A.80 |
| Language: | English |
| PROVIDER: | scopus |
| DOI: | 10.1364/FIO.2021.JTh5A.80 |
| DOI/URL: | |
| Notes: | Conference Paper -- Export Date: 1 June 2022 -- Source: Scopus |
