Lung nodule classification by jointly using visual descriptors and deep features
Classifying benign and malignant lung nodules using the thoracic computed tomography
(CT) screening is the primary method for early diagnosis of lung cancer. Despite of their …
(CT) screening is the primary method for early diagnosis of lung cancer. Despite of their …
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT
The separation of malignant from benign lung nodules on chest computed tomography (CT)
is important for the early detection of lung cancer, since early detection and management …
is important for the early detection of lung cancer, since early detection and management …
A novel ct-based descriptors for precise diagnosis of pulmonary nodules
Early diagnosis of pulmonary nodules is critical for lung cancer clinical management. In this
paper, a novel framework for pulmonary nodule diagnosis, using descriptors extracted from …
paper, a novel framework for pulmonary nodule diagnosis, using descriptors extracted from …
Multi-scale convolutional neural networks for lung nodule classification
We investigate the problem of diagnostic lung nodule classification using thoracic Computed
Tomography (CT) screening. Unlike traditional studies primarily relying on nodule …
Tomography (CT) screening. Unlike traditional studies primarily relying on nodule …
Hybrid-feature-guided lung nodule type classification on CT images
In this paper, we propose a novel classification method for lung nodules from CT images
based on hybrid features. Towards nodules of different types, including well-circumscribed …
based on hybrid features. Towards nodules of different types, including well-circumscribed …
Lung nodule classification using deep local–global networks
Purpose Lung nodules have very diverse shapes and sizes, which makes classifying them
as benign/malignant a challenging problem. In this paper, we propose a novel method to …
as benign/malignant a challenging problem. In this paper, we propose a novel method to …
Computer-aided classification of lung nodules on computed tomography images via deep learning technique
Lung cancer has a poor prognosis when not diagnosed early and unresectable lesions are
present. The management of small lung nodules noted on computed tomography scan is …
present. The management of small lung nodules noted on computed tomography scan is …
Classification of benign and malignant lung nodules from CT images based on hybrid features
G Zhang, Z Yang, L Gong, S Jiang… - Physics in Medicine & …, 2019 - iopscience.iop.org
The classification of benign and malignant lung nodules has great significance for the early
detection of lung cancer, since early diagnosis of nodules can greatly increase patient …
detection of lung cancer, since early diagnosis of nodules can greatly increase patient …
Lung nodule classification based on deep convolutional neural networks
JCM Bobadilla, H Pedrini - … Congress, CIARP 2016, Lima, Peru, November …, 2017 - Springer
Lung nodule classification is one of the main topics on computer-aided diagnosis (CAD)
systems for detecting nodules. Although convolutional neural networks (CNN) have been …
systems for detecting nodules. Although convolutional neural networks (CNN) have been …
Deep learning for the classification of lung nodules
Deep learning, as a promising new area of machine learning, has attracted a rapidly
increasing attention in the field of medical imaging. Compared to the conventional machine …
increasing attention in the field of medical imaging. Compared to the conventional machine …