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 …
Deep learning for lung cancer nodules detection and classification in CT scans
D Riquelme, MA Akhloufi - Ai, 2020 - mdpi.com
Detecting malignant lung nodules from computed tomography (CT) scans is a hard and time-
consuming task for radiologists. To alleviate this burden, computer-aided diagnosis (CAD) …
consuming task for radiologists. To alleviate this burden, computer-aided diagnosis (CAD) …
Lung nodule detection from feature engineering to deep learning in thoracic CT images: a comprehensive review
This paper presents a systematic review of the literature focused on the lung nodule
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
Deep learning applications in computed tomography images for pulmonary nodule detection and diagnosis: A review
Lung cancer has one of the highest mortality rates of all cancers and poses a severe threat
to people's health. Therefore, diagnosing lung nodules at an early stage is crucial to …
to people's health. Therefore, diagnosing lung nodules at an early stage is crucial to …
A comprehensive review of computer-aided diagnosis of pulmonary nodules based on computed tomography scans
Lung cancer is one of the malignant tumor diseases with the fastest increase in morbidity
and mortality, which poses a great threat to human health. Low-Dose Computed …
and mortality, which poses a great threat to human health. Low-Dose Computed …
The performance of deep learning algorithms on automatic pulmonary nodule detection and classification tested on different datasets that are not derived from LIDC …
D Li, B Mikela Vilmun, J Frederik Carlsen… - Diagnostics, 2019 - mdpi.com
The aim of this study was to systematically review the performance of deep learning
technology in detecting and classifying pulmonary nodules on computed tomography (CT) …
technology in detecting and classifying pulmonary nodules on computed tomography (CT) …
On the performance of lung nodule detection, segmentation and classification
Computed tomography (CT) screening is an effective way for early detection of lung cancer
in order to improve the survival rate of such a deadly disease. For more than two decades …
in order to improve the survival rate of such a deadly disease. For more than two decades …
Toward an expert level of lung cancer detection and classification using a deep convolutional neural network
Background Computed tomography (CT) is essential for pulmonary nodule detection in
diagnosing lung cancer. As deep learning algorithms have recently been regarded as a …
diagnosing lung cancer. As deep learning algorithms have recently been regarded as a …
Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks
Deep learning techniques have been extensively used in computerized pulmonary nodule
analysis in recent years. Many reported studies still utilized hybrid methods for diagnosis, in …
analysis in recent years. Many reported studies still utilized hybrid methods for diagnosis, in …
Detection and classification of pulmonary nodules using convolutional neural networks: a survey
CT screening has been proven to be effective for diagnosing lung cancer at its early
manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the …
manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the …