Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients
COVID-19 is now regarded as the most lethal disease caused by the novel coronavirus
disease of humans. The COVID-19 pandemic has spread to every country on the planet and …
disease of humans. The COVID-19 pandemic has spread to every country on the planet and …
LCD-capsule network for the detection and classification of lung cancer on computed tomography images
Lung cancer is the second most prominent cancer in men and women, and it is also the
leading cause of cancer-related mortality. If lung cancer is diagnosed early, when it is …
leading cause of cancer-related mortality. If lung cancer is diagnosed early, when it is …
Detection and classification of gastrointestinal disease using convolutional neural network and SVM
Gastrointestinal tract is a series of hollow organs connected in a long tube twisting from the
mouth to the anus. Recovery of gastrointestinal diseased patients depends on the early …
mouth to the anus. Recovery of gastrointestinal diseased patients depends on the early …
X-Ray image-based COVID-19 detection using deep learning
COVID-19 is a type of respiratory infection that primarily affects the lungs. Obtaining a chest
X-ray is one of the most important steps in detecting and treating COVID-19 occurrences …
X-ray is one of the most important steps in detecting and treating COVID-19 occurrences …
[PDF][PDF] RETRACTED: BCNet: A Novel Network for Blood Cell Classification
Z Zhu, S Lu, SH Wang, JM Górriz… - Frontiers in cell and …, 2022 - frontiersin.org
Aims: Most blood diseases, such as chronic anemia, leukemia (commonly known as blood
cancer), and hematopoietic dysfunction, are caused by environmental pollution …
cancer), and hematopoietic dysfunction, are caused by environmental pollution …
Osteoporosis diagnosis in knee X-rays by transfer learning based on convolution neural network
Osteoporosis degrades the quality of bones and is the primary cause of fractures in the
elderly and women after menopause. The high diagnostic and treatment costs urge the …
elderly and women after menopause. The high diagnostic and treatment costs urge the …
Prediction of COVID-19 outbreak with current substantiation using machine learning algorithms
Abstract Corona virus disease (COVID-19) is a novel disease that originated from the SARS-
CoV-2 virus. COVID-19 is a worldwide pandemic that has affected a multitude of people all …
CoV-2 virus. COVID-19 is a worldwide pandemic that has affected a multitude of people all …
Detection of corona virus disease using a novel machine learning approach
AO Salau - 2021 international conference on decision aid …, 2021 - ieeexplore.ieee.org
In recent times, Coronavirus Disease 2019 (COVID-19) has become a growing concern
which has taken the world by surprise. Early detection of this virus can be used to save …
which has taken the world by surprise. Early detection of this virus can be used to save …
[PDF][PDF] Artificial Intelligence Technologies: Applications, Threats, and Future Opportunities.
Artificial intelligence's (AI) rapid evolution has made it a critical technology in medicine,
education, research, computer vision, natural language processing, automatic driving …
education, research, computer vision, natural language processing, automatic driving …
Multimodal medical image fusion based on intuitionistic fuzzy sets
Multimodal medical image fusion is the process of combining two or more multimodal
medical images to increase the quality and to extract maximum information from the output …
medical images to increase the quality and to extract maximum information from the output …