Lung cancer prediction and classification based on correlation selection method using machine learning techniques
DM Abdullah, AM Abdulazeez… - Qubahan Academic …, 2021 - journal.qubahan.com
Lung cancer is one of the leading causes of mortality in every country, affecting both men
and women. Lung cancer has a low prognosis, resulting in a high death rate. The computing …
and women. Lung cancer has a low prognosis, resulting in a high death rate. The computing …
Efficient lung nodule classification using transferable texture convolutional neural network
Lung nodules are vital indicators for the presence of lung cancer. An early detection
enhances the survival rate of the patient by starting treatment at the right time. The detection …
enhances the survival rate of the patient by starting treatment at the right time. The detection …
Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters
EA Siddiqui, V Chaurasia, M Shandilya - Chemometrics and Intelligent …, 2023 - Elsevier
The computer-aided diagnosis (CAD) method plays a considerable role in the automated
recognition of medical images, considering the increasing numbers of lung cancer patients …
recognition of medical images, considering the increasing numbers of lung cancer patients …
Prediction of lung cancer using machine learning classifier
R Patra - Computing Science, Communication and Security: First …, 2020 - Springer
Lung cancer generally occurs in both male and female due to uncontrollable growth of cells
in the lungs. This causes a serious breathing problem in both inhale and exhale part of …
in the lungs. This causes a serious breathing problem in both inhale and exhale part of …
Lung tumor image segmentation from computer tomography images using MobileNetV2 and transfer learning
Background: Lung cancer is one of the most fatal cancers worldwide, and malignant tumors
are characterized by the growth of abnormal cells in the tissues of lungs. Usually, symptoms …
are characterized by the growth of abnormal cells in the tissues of lungs. Usually, symptoms …
ALBAE feature extraction based lung pneumonia and cancer classification
Lung cancer is a deadly disease showing uncontrolled proliferation of malignant cells in the
lungs. If the lung cancer is detected in early stages, it can be cured before critical stage. In …
lungs. If the lung cancer is detected in early stages, it can be cured before critical stage. In …
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images
In recent times, COVID-19 infection gets increased exponentially with the existence of a
restricted number of rapid testing kits. Several studies have reported the COVID-19 …
restricted number of rapid testing kits. Several studies have reported the COVID-19 …
A systematic review of modern approaches in healthcare systems for lung cancer detection and classification
SK Pandey, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Lung cancer has become a prevalent form of cancer; it can be found in persons of all age
groups. The early stage identification of lung cancer is required to control the integrated …
groups. The early stage identification of lung cancer is required to control the integrated …
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 …
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Background Lung diseases, both infectious and non-infectious, are the most prevalent
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
cause of mortality overall in the world. Medical research has identified pneumonia, lung …