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 …
Classification of cancerous lung images by using transfer learning
PL Saveri, S Kumar - 2022 8th International Conference on …, 2022 - ieeexplore.ieee.org
Lung cancer detection is an interesting research domain in the field of bio-medical
applications. In this work we have implemented three systems to detect and classify type of …
applications. In this work we have implemented three systems to detect and classify type of …
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 …
Lung nodules classification using convolutional neural network with transfer learning
AY Saleh, RA Rosdi - The International Conference on Data Science and …, 2022 - Springer
Healthcare industry plays a vital role in improving daily life. Machine learning and deep
neural networks have contributed a lot to benefit various industries nowadays. Agriculture …
neural networks have contributed a lot to benefit various industries nowadays. Agriculture …
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 …
Lung nodule classification in CT images using convolutional neural network
GK Abraham, P Bhaskaran… - 2019 9th International …, 2019 - ieeexplore.ieee.org
Convolutional neural networks (CNN), due to its self-learning ability and deep feature
extraction capability has created a new era to the biomedical applications and medical …
extraction capability has created a new era to the biomedical applications and medical …
[PDF][PDF] Application of transfer learning technique for detection and classification of lung cancer using CT images
A Mohite - Int J Sci Res Manag, 2021 - researchgate.net
Lung cancer is unquestionably a lung-influencing chronic condition that significantly
hampers the respiratory system. It is the second most dangerous disease which causes …
hampers the respiratory system. It is the second most dangerous disease which causes …
Intelligent classification of lung malignancies using deep learning techniques
Purpose Computed tomography (CT) scan can provide valuable information in the diagnosis
of lung diseases. To detect the location of the cancerous lung nodules, this work uses novel …
of lung diseases. To detect the location of the cancerous lung nodules, this work uses novel …
Analysis of Lungs CT Image Using Deep Learning Techniques
P Yuvarani, S Hemalatha… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Lung cancer claimed the lives of more than 1.5 million people globally in 2017, making up
26% of all cancer-related deaths. In response to this difficult circumstance, a number of …
26% of all cancer-related deaths. In response to this difficult circumstance, a number of …