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 …
Lung cancer CT image classification using hybrid-SVM transfer learning approach
S Nigudgi, C Bhyri - Soft Computing, 2023 - Springer
Lung cancer is a leading deadly form of the illness that is the cause of one million deaths
around the world every year. Identification of lung nodules on chest computed tomography …
around the world every year. Identification of lung nodules on chest computed tomography …
Classification of lung nodules based on transfer learning with K-Nearest Neighbor (KNN)
Lung is a major part of our body. Any disease in the lung can affect the whole respiratory
system. Lung cancer is considered one of the most dangerous types of cancer where the …
system. Lung cancer is considered one of the most dangerous types of cancer where the …
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 …
Investigation of deep features in lung nodule classification
Cancer is one of the deadliest diseases that affect people worldwide, regardless of their
socioeconomic situation. Head and neck cancer, brain cancer, stomach cancer, breast …
socioeconomic situation. Head and neck cancer, brain cancer, stomach cancer, breast …
Intelligent deep learning algorithm for lung cancer detection and classification
NS Reddy, V Khanaa - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Lung cancer is one of the leading causes of cancer mortality. The overlapping of cancer
cells makes early diagnosis difficult. When lung cancer is found early, many therapy choices …
cells makes early diagnosis difficult. When lung cancer is found early, many therapy choices …
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 …
An appraisal of lung nodules automatic classification algorithms for CT images
X Wang, K Mao, L Wang, P Yang, D Lu, P He - Sensors, 2019 - mdpi.com
Lung cancer is one of the most deadly diseases around the world representing about 26% of
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …
all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent …
Machine learning with data science-enabled lung cancer diagnosis and classification using computed tomography images
In recent times, the healthcare industry has been generating a significant amount of data in
distinct formats, such as electronic health records (EHR), clinical trials, genetic data …
distinct formats, such as electronic health records (EHR), clinical trials, genetic data …
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 …