Impact of activation functions and number of layers on detection of exudates using circular Hough transform and convolutional neural networks

Author:

Adem Kemal

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Micro-aneurysm detection using vessels removal and circular hough transform;Abdelazeem,2002

2. Exudate detection for diabetic retinopathy with circular Hough transformation and convolutional neural networks;Adem;Expert Systems with Applications,2018

3. Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification;Adem;Expert Systems with Applications,2019

4. Image processing based quality control of the impermeable seams in multilayered aseptic packages;Adem;Expert Systems with Applications,2015

5. Results and challenges of artificial neural networks used for decision-making and control in medical applications;Albu;Facta Universitatis, Series Mechanical Engineering,2019

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