Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network
Artificial Intelligence (AI) more specifically Deep Learning (DL) incorporating with image processing is being employed widely to solve different refractory problems by academia and industry from the ophthalmology discipline. The microvascular structure of the human retina shows remarkable abnormali...
Saved in:
主要作者: | Mohammed Enamul, Hoque |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2021
|
主题: | |
在线阅读: | http://ir.unimas.my/id/eprint/36563/3/Mohammed%20Enamul%20Hoque%20ft.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Faster convolutional neural network inferencing for screening red blood cell disease
由: Nor Azman, Muhammad Nor Azzafri
出版: (2021) -
Convolution and max pooling layer accelerator for convolutional neural network
由: Goh, Jinn Chyn
出版: (2020) -
Video annotation using convolution neural network
由: Wan Abd. Kadir, Wan Zahiruddin
出版: (2018) -
Convolution neural network for diabetic retinopathy classification with select enhancment algorithm
由: Mohammed Sheet, Sinan Salim
出版: (2022) -
Multimodal convolutional neural networks for sperm motility and concentration predictions
由: Goh, Voon Hueh
出版: (2023)