Detection of COVID-19 using deep learning techniques and cost effectiveness evaluation: a survey
Graphical-design-based symptomatic techniques in pandemics perform a quintessential
purpose in screening hit causes that comparatively render better outcomes amongst the …
purpose in screening hit causes that comparatively render better outcomes amongst the …
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …
image analysis. This paper aims to highlight the importance of deep learning architectures in …
On the automatic detection and classification of skin cancer using deep transfer learning
Skin cancer (melanoma and non-melanoma) is one of the most common cancer types and
leads to hundreds of thousands of yearly deaths worldwide. It manifests itself through …
leads to hundreds of thousands of yearly deaths worldwide. It manifests itself through …
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
M Alkhodari, AH Khandoker - PloS one, 2022 - journals.plos.org
This study was sought to investigate the feasibility of using smartphone-based breathing
sounds within a deep learning framework to discriminate between COVID-19, including …
sounds within a deep learning framework to discriminate between COVID-19, including …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
SH Karaddi, LD Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Classification of corn diseases from leaf images using deep transfer learning
Corn is a mass-produced agricultural product that plays a major role in the food chain and
many agricultural products in addition to biofuels. Furthermore, households in poor countries …
many agricultural products in addition to biofuels. Furthermore, households in poor countries …
Automatic detection of tomato diseases using deep transfer learning
Global food production is being strained by extreme weather conditions, fluctuating
temperatures, and geopolitics. Tomato is a staple agricultural product with tens of millions of …
temperatures, and geopolitics. Tomato is a staple agricultural product with tens of millions of …
[PDF][PDF] The Distinction between R-CNN and Fast RCNN in Image Analysis: A Performance Comparison
Deep learning techniques have become vital in many fields in the modern era because they
are excellent at analysing and predicting real big data to act in different situations. Although …
are excellent at analysing and predicting real big data to act in different situations. Although …
Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning
Background Developmental dysplasia of the hip (DDH) is a relatively common disorder in
newborns, with a reported prevalence of 1–5 per 1000 births. It can lead to developmental …
newborns, with a reported prevalence of 1–5 per 1000 births. It can lead to developmental …
Rethinking densely connected convolutional networks for diagnosing infectious diseases
Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented
burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a …
burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a …