[Retracted] Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures
Breast cancer is a global cause for concern owing to its high incidence around the world.
The alarming increase in breast cancer cases emphasizes the management of disease at …
The alarming increase in breast cancer cases emphasizes the management of disease at …
A study of CNN and transfer learning in medical imaging: Advantages, challenges, future scope
This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …
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 …
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 …
CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images
This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus
disease (COVID-19). The novelty of this work is in the introduction of optimized …
disease (COVID-19). The novelty of this work is in the introduction of optimized …
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
A comparative study of detecting covid 19 by using chest X-ray images–A deep learning approach
J Miah, RH Khan, S Ahmed… - 2023 IEEE World AI IoT …, 2023 - ieeexplore.ieee.org
SARS-CoV-2's COVID-19 pandemic has quickly spread over the world, inflicting a sizable
number of illnesses and fatalities. Stopping the virus's spread depends on correctly and …
number of illnesses and fatalities. Stopping the virus's spread depends on correctly and …
Ensemble image explainable AI (XAI) algorithm for severe community-acquired pneumonia and COVID-19 respiratory infections
L Zou, HL Goh, CJY Liew, JL Quah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Since the onset of the COVID-19 pandemic in 2019, many clinical prognostic scoring tools
have been proposed or developed to aid clinicians in the disposition and severity …
have been proposed or developed to aid clinicians in the disposition and severity …
Effect of image transformation on EfficientNet model for COVID-19 CT image classification
AS Ebenezer, SD Kanmani, M Sivakumar… - Materials Today …, 2022 - Elsevier
Abstract The Novel Corona Virus 2019 has drastically affected millions of people all around
the world and was a huge threat to the human race since its evolution in 2019. Chest CT …
the world and was a huge threat to the human race since its evolution in 2019. Chest CT …