Microscopic handcrafted features selection from computed tomography scans for early stage lungs cancer diagnosis using hybrid classifiers
J Alyami, AR Khan, SA Bahaj… - Microscopy Research and …, 2022 - Wiley Online Library
Lung's cancer is the leading cause of cancer‐related deaths worldwide. Recently cancer
mortality rate and incidence increased exponentially. Many patients with lung cancer are …
mortality rate and incidence increased exponentially. Many patients with lung cancer are …
Automated lung nodule detection and classification based on multiple classifiers voting
T Saba - Microscopy research and technique, 2019 - Wiley Online Library
Lung cancer is the most common cause of cancer‐related death globally. Currently, lung
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
Lung cancer identification: a review on detection and classification
SK Thakur, DP Singh, J Choudhary - Cancer and Metastasis Reviews, 2020 - Springer
Lung cancer is one of the most common diseases among humans and one of the major
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans
GAP Singh, PK Gupta - Neural Computing and Applications, 2019 - Springer
Lung cancer is one of the most common causes of death among all cancer-related diseases
(Cancer Research UK in Cancer mortality for common cancers. http://www …
(Cancer Research UK in Cancer mortality for common cancers. http://www …
An extensive review on lung cancer diagnosis using machine learning techniques on radiological data: state-of-the-art and perspectives
Cancer of the lung is a killer illness that often results from a combination of genetic
disposition and many clinical changes. The lung region of the body contains cancerous cells …
disposition and many clinical changes. The lung region of the body contains cancerous cells …
Lung cancer detection and classification based on image processing and statistical learning
M Rashidul Hasan, M Al Kabir - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Lung cancer is one of the death threatening diseases among human beings. Early and
accurate detection of lung cancer can increase the survival rate from lung cancer. Computed …
accurate detection of lung cancer can increase the survival rate from lung cancer. Computed …
Combining handcrafted features and deep learning for automatic classification of lung cancer on CT scans
P Deshpande, MW Bhatt, SK Shinde… - Journal of Artificial …, 2024 - ojs.istp-press.com
On a global scale, lung cancer is responsible for around 27% of all cancer fatalities. Even
though there have been great strides in diagnosis and therapy in recent years, the five-year …
though there have been great strides in diagnosis and therapy in recent years, the five-year …
An automatic lung nodule classification system based on hybrid transfer learning approach
Lung cancers are not only affecting the lung but also impair the respiratory mechanism.
Worldwide, it becomes one of the high causes of mortality in humans. Several computer …
Worldwide, it becomes one of the high causes of mortality in humans. Several computer …
Improving Lungs Cancer Detection Based on Hybrid Features and Employing Machine Learning Techniques
Lung cancer detection using machine learning involves training a model on a dataset of
medical images, such as CT scans, to identify patterns and features associated with lung …
medical images, such as CT scans, to identify patterns and features associated with lung …
Hand Crafted Features for Efficient Lung Cancer Diagnosis Using Stacked Autoencoder
The most critical steps to improve the clinical management of the lung cancer are the early
detection and the accurate diagnosis. In this study, an automated system for lung cancer …
detection and the accurate diagnosis. In this study, an automated system for lung cancer …