Database of the article "Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue "
Purpose: Integrative analysis combining diagnostic imaging and genomic information can uncover biolo...
Graphs are useful in analysing histopathological images as they are able to represent neighbourhood ...
Nuclei identification is a pivotal first step in many areas of biomedical research. Pathologists oft...
Database of the article "Combining graph neural networks and computer vision methods for cell nuclei...
This study is related to the different methods of identification of artificial neural networks. Thes...
The precise identification and characterization of small pulmonary nodules at low-dose CT is a neces...
Worldwide, lung cancer is the major cause of death and rapidly spreads. Lung tissue that is benign d...
Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment me...
The Automatic Support Intelligent System is used to detect Lung Tumor through the combination of bil...
Graph Neural Networks (GNNs) have known an important and fast development in the last decade, with m...
PURPOSE: We investigated the capabilities of an artificial neural network-based Computer-Aided Diag...
The purpose of this Master’s thesis was to teach a convolutional neural network to recognize non-sma...
Medical Imaging plays an important role in the early detection and treatment of cancer. Computer Aid...
Computed tomography is one of the most sensitive imaging techniques for the segmentation of lung can...
Neural Network Algorithm is an algorithm that is used to study the workings of the human brain which...
Purpose: Integrative analysis combining diagnostic imaging and genomic information can uncover biolo...
Graphs are useful in analysing histopathological images as they are able to represent neighbourhood ...
Nuclei identification is a pivotal first step in many areas of biomedical research. Pathologists oft...
Database of the article "Combining graph neural networks and computer vision methods for cell nuclei...
This study is related to the different methods of identification of artificial neural networks. Thes...
The precise identification and characterization of small pulmonary nodules at low-dose CT is a neces...
Worldwide, lung cancer is the major cause of death and rapidly spreads. Lung tissue that is benign d...
Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment me...
The Automatic Support Intelligent System is used to detect Lung Tumor through the combination of bil...
Graph Neural Networks (GNNs) have known an important and fast development in the last decade, with m...
PURPOSE: We investigated the capabilities of an artificial neural network-based Computer-Aided Diag...
The purpose of this Master’s thesis was to teach a convolutional neural network to recognize non-sma...
Medical Imaging plays an important role in the early detection and treatment of cancer. Computer Aid...
Computed tomography is one of the most sensitive imaging techniques for the segmentation of lung can...
Neural Network Algorithm is an algorithm that is used to study the workings of the human brain which...
Purpose: Integrative analysis combining diagnostic imaging and genomic information can uncover biolo...
Graphs are useful in analysing histopathological images as they are able to represent neighbourhood ...
Nuclei identification is a pivotal first step in many areas of biomedical research. Pathologists oft...
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