A comprehensive survey on the progress, process, and challenges of lung cancer detection and classification
MF Mridha, AR Prodeep, ASMM Hoque… - Journal of …, 2022 - Wiley Online Library
Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …
rate is increasing step by step. There are chances of recovering from lung cancer by …
Lung nodule classification on computed tomography images using deep learning
Lung Cancer is the most fast growing cancer around the world and is mostly diagnosed at
an advanced stage. Due to enhancement in medical imaging modalities like Computed …
an advanced stage. Due to enhancement in medical imaging modalities like Computed …
Small lung nodules detection based on local variance analysis and probabilistic neural network
Background and objective In medical examinations doctors use various techniques in order
to provide to the patients an accurate analysis of their actual state of health. One of the …
to provide to the patients an accurate analysis of their actual state of health. One of the …
CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images
Background Early and automatic detection of pulmonary nodules from CT lung screening is
the prerequisite for precise management of lung cancer. However, a large number of false …
the prerequisite for precise management of lung cancer. However, a large number of false …
Multi-branch ensemble learning architecture based on 3D CNN for false positive reduction in lung nodule detection
H Cao, H Liu, E Song, G Ma, X Xu, R Jin, T Liu… - IEEE …, 2019 - ieeexplore.ieee.org
It is critical to have accurate detection of lung nodules in CT images for the early diagnosis of
lung cancer. In order to achieve this, it is necessary to reduce the false positive rate of …
lung cancer. In order to achieve this, it is necessary to reduce the false positive rate of …
Impact of covid-19 in lung cancer detection using image processing techniques, artificial intelligence and machine learning approaches
K Singh, U Chauhan, L Varshney - Smart Science, 2023 - Taylor & Francis
Due to their impaired immune systems, lung cancer (LC) patients are especially sensitive to
COVID-19 and are more susceptible to it as well as its related effects. The diagnosis …
COVID-19 and are more susceptible to it as well as its related effects. The diagnosis …
A deep feature concatenation approach for lung nodule classification
Lung cancer is the most common cancer around the world, with the highest mortality rate. If
the malignant tumors are diagnosed at an early stage, the patient's survival rate can be …
the malignant tumors are diagnosed at an early stage, the patient's survival rate can be …
Robust locally discriminant analysis via capped norm
Conventional linear discriminant analysis and its extended versions have some potential
drawbacks. First, they are sensitive to outliers, noise, and variations in data, which degrades …
drawbacks. First, they are sensitive to outliers, noise, and variations in data, which degrades …
Lung nodule classification using combination of CNN, second and higher order texture features
Lung cancer is the most common cancer throughout the world and identification of malignant
tumors at an early stage is needed for diagnosis and treatment of patient thus avoiding the …
tumors at an early stage is needed for diagnosis and treatment of patient thus avoiding the …
Lung tumour detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography
MH Shakoor - IET Image Processing, 2019 - Wiley Online Library
Lung cancer is one of the leading causes of death in the world. Although early detection of
lung tumours (nodules) can remarkably diminish the mortal rate, precise detection of them is …
lung tumours (nodules) can remarkably diminish the mortal rate, precise detection of them is …