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03/03/2022
ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images
Optical coherence tomography (OCT) imaging is a well-known technology fo...
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04/27/2021
Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
One of the main challenges since the advancement of convolutional neural...
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06/09/2020
A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset
This paper aims to propose a high-speed and accurate fully-automated met...
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06/03/2020
A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2
In this paper, we have trained several deep convolutional networks with ...
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05/08/2020
Introduction of a new Dataset and Method for Detecting and Counting the Pistachios based on Deep Learning
Pistachio is a nutritious nut that has many uses in the food industry. I...
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04/17/2020
A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images
COVID-19 has become a serious health problem all around the world. It is...
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02/11/2020