Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Y Gu, J Chi, J Liu, L Yang, B Zhang, D Yu… - Computers in biology …, 2021 - Elsevier
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer
death in the United States. Lung cancer screening using low-dose computed tomography …
death in the United States. Lung cancer screening using low-dose computed tomography …
Deep learning predicts lung cancer treatment response from serial medical imaging
Purpose: Tumors are continuously evolving biological systems, and medical imaging is
uniquely positioned to monitor changes throughout treatment. Although qualitatively tracking …
uniquely positioned to monitor changes throughout treatment. Although qualitatively tracking …
Radiomics and radiogenomics in lung cancer: a review for the clinician
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe,
with delayed detection being perhaps the most significant factor for its high mortality rate …
with delayed detection being perhaps the most significant factor for its high mortality rate …
Using deep learning for classification of lung nodules on computed tomography images
QZ Song, L Zhao, XK Luo… - Journal of healthcare …, 2017 - Wiley Online Library
Lung cancer is the most common cancer that cannot be ignored and cause death with late
health care. Currently, CT can be used to help doctors detect the lung cancer in the early …
health care. Currently, CT can be used to help doctors detect the lung cancer in the early …
Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification
We investigate the problem of lung nodule malignancy suspiciousness (the likelihood of
nodule malignancy) classification using thoracic Computed Tomography (CT) images …
nodule malignancy) classification using thoracic Computed Tomography (CT) images …
Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks
PM Shakeel, MA Burhanuddin, MI Desa - Measurement, 2019 - Elsevier
Automatic lung disease detection is a critical challenging task for researchers because of the
noise signals getting included into creative signals amid the image capturing process which …
noise signals getting included into creative signals amid the image capturing process which …
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
JC Souza, JOB Diniz, JL Ferreira, GLF Da Silva… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective Chest X-ray (CXR) is one of the most used imaging
techniques for detection and diagnosis of pulmonary diseases. A critical component in any …
techniques for detection and diagnosis of pulmonary diseases. A critical component in any …
Survey on deep learning for radiotherapy
More than 50% of cancer patients are treated with radiotherapy, either exclusively or in
combination with other methods. The planning and delivery of radiotherapy treatment is a …
combination with other methods. The planning and delivery of radiotherapy treatment is a …