The article describes the terminology of the problem of recognition of X-ray and CT images using deep machine learning methods, the relevance of the problem is investigated, and the analysis of the current state of the problem in the field of recognition of X-ray and CT images is carried out. Aspects of the problem being solved, identified during the analysis, are noted in the form of problems to be solved, approaches, models and methods, information technologies used, tools and software solutions to the problem
ABSTRACT - Artificial intelligence has found its use in various fields during the course of its deve...
As technology continues to advance, many different fields are exploring the benefits of machine lear...
A large number of persecutors have been interested in computer vision research. It evolves from the ...
The relevance of the topic, in particular, if to take one of the information flows, whether it is th...
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal conditio...
The purpose of this thesis is to use convolutional neural networks for X-ray image classification of...
This work presents an application of different deep learning related paradigms to the diagnosis of m...
X-ray images are the most common form of medical imaging used for diagnosis. Through the use of deep...
Deep learning is now causing a paradigm change in medical image analysis. This technology has lately...
There has been rapid and tremendous progress in the past few years in the field of deep learning, ma...
Imaging in medicine plays a significant part in a broad number of clinical applications, including t...
This article examines the effectiveness of gender and age recognition using a neural network. The se...
Purpose The purpose of this study is to analyze the utility of Convolutional Neural Network (CNN) in...
Pneumonia is an infamous life-threatening lung bacterial or viral infection. The latest viral infect...
In recent years, computer-assisted diagnostic systems have gained increasing interest through the us...
ABSTRACT - Artificial intelligence has found its use in various fields during the course of its deve...
As technology continues to advance, many different fields are exploring the benefits of machine lear...
A large number of persecutors have been interested in computer vision research. It evolves from the ...
The relevance of the topic, in particular, if to take one of the information flows, whether it is th...
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal conditio...
The purpose of this thesis is to use convolutional neural networks for X-ray image classification of...
This work presents an application of different deep learning related paradigms to the diagnosis of m...
X-ray images are the most common form of medical imaging used for diagnosis. Through the use of deep...
Deep learning is now causing a paradigm change in medical image analysis. This technology has lately...
There has been rapid and tremendous progress in the past few years in the field of deep learning, ma...
Imaging in medicine plays a significant part in a broad number of clinical applications, including t...
This article examines the effectiveness of gender and age recognition using a neural network. The se...
Purpose The purpose of this study is to analyze the utility of Convolutional Neural Network (CNN) in...
Pneumonia is an infamous life-threatening lung bacterial or viral infection. The latest viral infect...
In recent years, computer-assisted diagnostic systems have gained increasing interest through the us...
ABSTRACT - Artificial intelligence has found its use in various fields during the course of its deve...
As technology continues to advance, many different fields are exploring the benefits of machine lear...
A large number of persecutors have been interested in computer vision research. It evolves from the ...