Deep Learning-Driven Insights into Cell Migration Dynamics

被引:0
|
作者
Shrestha, Shruti [1 ]
Jiang, Yi [1 ]
Edirisinghe, Neranjan Suranga [1 ]
机构
[1] Georgia State Univ, Atlanta, GA 30303 USA
基金
美国国家科学基金会;
关键词
Deep Learning; Computer Vision; Autoencoders; Dimensionality Reduction; Medical Imaging;
D O I
10.1145/3626203.3670626
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a novel approach to discovering migrating vs. nonmigrating cells by implementing variational autoencoder architecture and training across a high-performance computing platform. The process workflow undergoes data preprocessing, training, and inferencing a deep learning architecture. The discussion covers the implementation of various hyperparameter testing throughout the study, along with the findings on training deep learning on multi-gpu vs. multi-node systems.
引用
收藏
页数:5
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