Binary Classification of Glomeruli Using Convolutional Neural Networks
Glomeruli are tiny clusters of blood vessels found in the kidneys which filter bodily waste. However, various diseases such as diabetes and obesity are risk factors for glomerulosclerosis, the scarring of glomeruli. This impedes the filtration process and leads to more advanced renal diseases and ev...
Saved in:
Main Authors: | Garganera, Wilbert, Katsumi, Syou, Regalado, Joachim, Briones, Jeric C. |
---|---|
Format: | text |
Published: |
Archīum Ateneo
2024
|
Subjects: | |
Online Access: | https://archium.ateneo.edu/mathematics-faculty-pubs/277 https://doi.org/10.1063/5.0216681 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Ateneo De Manila University |
Similar Items
-
Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors
by: ZHENG, Dandan, et al.
Published: (2020) -
Review of some existing QML frameworks and novel hybrid classical-quantum neural networks realising binary classification for the noisy datasets
by: Schetakis, N., et al.
Published: (2022) -
The Future of Artificial Neural Networks and Speech Recognition
by: LIANG, Qianhui (Althea), et al.
Published: (2002) -
SINet: A scale-insensitive convolutional neural network for fast vehicle detection
by: HU, Xiaowei, et al.
Published: (2019) -
Scalable verification of quantized neural networks
by: HENZINGER, Thomas A., et al.
Published: (2021)