An Efficient Deep Learning based Ensemble Approach for Multiclass Skin Cancer Classification Using Medical Imaging
Skin cancer is considered one of the most common types of cancer that generally happens
due to the abnormal growth of skin cells. There are different types of skin cancer with varied …
due to the abnormal growth of skin cells. There are different types of skin cancer with varied …
Novel Automatic Classification of Human Adult Lung Alveolar Type II Cells Infected with SARS-CoV-2 through the Deep Transfer Learning Approach
T Turki, S Al Habib, Y Taguchi - Mathematics, 2024 - mdpi.com
Transmission electron microscopy imaging provides a unique opportunity to inspect the
detailed structure of infected lung cells with SARS-CoV-2. Unlike previous studies, this novel …
detailed structure of infected lung cells with SARS-CoV-2. Unlike previous studies, this novel …
Comparing Convolutional Neural Networks for Covid-19 Detection in Chest X-Ray Images
N Varshney, P Madan, A Shrivastava… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The study has been conducted to understand the effectiveness of CNN in the case of
“COVID-19” detection by using all the X-ray images of the chest. This helps the health sector …
“COVID-19” detection by using all the X-ray images of the chest. This helps the health sector …
EFS-XGBoost: A robust framework for precision classification of COVID-19 cases
The emergence of the novel COVID-19 virus has had a profound impact on global
healthcare systems and economies, underscoring the imperative need for the development …
healthcare systems and economies, underscoring the imperative need for the development …
Classification of Pneumonia Disease Through Deep Learning Procedures and Fine-tuning on ResNet50V2 CNN Model Utilizing Chest Xray Images
Many different types of germs like bacteria, viruses, fungus, and other tiny organisms can
make you get pneumonia. Depending on the etiological agent and the patient's health, the …
make you get pneumonia. Depending on the etiological agent and the patient's health, the …