Automatic pulmonary nodule detection applying deep learning or machine learning algorithms to the LIDC-IDRI database: a systematic review
The aim of this study was to provide an overview of the literature available on machine
learning (ML) algorithms applied to the Lung Image Database Consortium Image Collection …
learning (ML) algorithms applied to the Lung Image Database Consortium Image Collection …
Deep convolutional neural networks enable discrimination of heterogeneous digital pathology images
Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and
automated image analysis approaches have great potential to increase precision of …
automated image analysis approaches have great potential to increase precision of …
[HTML][HTML] Computer-assisted decision support system in pulmonary cancer detection and stage classification on CT images
Pulmonary cancer is considered as one of the major causes of death worldwide. For the
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
How ai can help in the diagnostic dilemma of pulmonary nodules
Simple Summary Pulmonary nodules are considered a sign of bronchogenic carcinoma,
detecting them early will reduce their progression and can save lives. Lung cancer is the …
detecting them early will reduce their progression and can save lives. Lung cancer is the …
Lung nodules detection using semantic segmentation and classification with optimal features
Lung cancer is a deadly disease if not diagnosed in its early stages. However, early
detection of lung cancer is a challenging task due to the shape and size of its nodules …
detection of lung cancer is a challenging task due to the shape and size of its nodules …
Comparison of lung cancer detection algorithms
Ö Günaydin, M Günay, Ö Şengel - 2019 Scientific Meeting on …, 2019 - ieeexplore.ieee.org
Lung cancer is a kind of difficult to diagnose and dangerous cancer. It commonly causes
death both men and women so fast accurate analysis of nodules is more important for …
death both men and women so fast accurate analysis of nodules is more important for …
Lung boundary detection for chest X-ray images classification based on GLCM and probabilistic neural networks
Extraction of various structures from the chest X-ray (CXR) images and abnormalities
classification are often performed as an initial step in computer-aided diagnosis/detection …
classification are often performed as an initial step in computer-aided diagnosis/detection …
Automated pulmonary nodule classification and detection using deep learning architectures
Recent advancement in biomedical imaging technologies has contributed to tremendous
opportunities for the health care sector and the biomedical community. However, collecting …
opportunities for the health care sector and the biomedical community. However, collecting …
Detection of lungs tumors in ct scan images using convolutional neural networks
Current human being's lifestyle has caused/exacerbated many diseases. One of these
diseases is cancer, and among all kinds of cancers like, brain pulmonary; lung cancer is …
diseases is cancer, and among all kinds of cancers like, brain pulmonary; lung cancer is …
A comparison of the fusion model of deep learning neural networks with human observation for lung nodule detection and classification
A Gürsoy Çoruh, B Yenigün, Ç Uzun… - The British Journal of …, 2021 - academic.oup.com
Objectives: To compare the diagnostic performance of a newly developed artificial
intelligence (AI) algorithm derived from the fusion of convolution neural networks (CNN) …
intelligence (AI) algorithm derived from the fusion of convolution neural networks (CNN) …