Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
COVID-19 diagnosis-based deep learning approaches for COVIDx dataset: A preliminary survey
This chapter presents a comprehensive review of the utilization of deep learning (DL)
approaches to COVID-19 identification and lung segmentation. It also presents a review of …
approaches to COVID-19 identification and lung segmentation. It also presents a review of …
A quantum convolutional network and ResNet (50)-based classification architecture for the MNIST medical dataset
Biomedical image classification is crucial for both computer vision tasks and clinical care.
The conventional method requires a significant amount of time and effort for extracting and …
The conventional method requires a significant amount of time and effort for extracting and …
A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation
Purpose Breast cancer is one of the major reasons of death due to cancer in women. Early
diagnosis is the most critical key for disease screening, control, and reducing mortality. A …
diagnosis is the most critical key for disease screening, control, and reducing mortality. A …
A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
Purpose The first transmission of coronavirus to humans started in Wuhan city of China, took
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …
[PDF][PDF] A novel convolutional neural network model for malaria cell images classification
Infectious diseases are an imminent danger that faces human beings around the world.
Malaria is considered a highly contagious disease. The diagnosis of various diseases …
Malaria is considered a highly contagious disease. The diagnosis of various diseases …
An analysis of image features extracted by CNNs to design classification models for COVID-19 and non-COVID-19
The SARS-CoV-2 virus causes a respiratory disease in humans, known as COVID-19. The
confirmatory diagnostic of this disease occurs through the real-time reverse transcription and …
confirmatory diagnostic of this disease occurs through the real-time reverse transcription and …
Detecting COVID-19 in chest CT images based on several pre-trained models
This paper explores the use of chest CT scans for early detection of COVID-19 and improved
patient outcomes. The proposed method employs advanced techniques, including binary …
patient outcomes. The proposed method employs advanced techniques, including binary …
An augmentation aided concise CNN based architecture for COVID-19 diagnosis in real time
Over 6.5 million people around the world have lost their lives due to the highly contagious
COVID 19 virus. The virus increases the danger of fatal health effects by damaging the lungs …
COVID 19 virus. The virus increases the danger of fatal health effects by damaging the lungs …
Plant seedlings classification using transfer learning
Agriculture is essential for human survival and remains a major economic driver in many
countries around the world. Most of the living things around the world feed on vegetation …
countries around the world. Most of the living things around the world feed on vegetation …