Optimization system based on convolutional neural network and internet of medical things for early diagnosis of lung cancer
Y Hussain Ali, V Sabu Chooralil, K Balasubramanian… - Bioengineering, 2023 - mdpi.com
Recently, deep learning and the Internet of Things (IoT) have been widely used in the
healthcare monitoring system for decision making. Disease prediction is one of the …
healthcare monitoring system for decision making. Disease prediction is one of the …
Lung cancer prediction using stochastic diffusion search (SDS) based feature selection and machine learning methods
The symptoms of cancer normally appear only in the advanced stages, so it is very hard to
detect resulting in a high mortality rate among the other types of cancers. Thus, there is a …
detect resulting in a high mortality rate among the other types of cancers. Thus, there is a …
Lung cancer detection and classification from chest CT scans using machine learning techniques
Lung cancer is one of the key causes of death amongst humans globally, with a mortality
rate of approximately five million cases annually. The mortality rate is even higher than …
rate of approximately five million cases annually. The mortality rate is even higher than …
Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN
In medical diagnostics, the invention of the computer-aided identification method has played
a significant role in making essential decisions for human diseases. Lung cancer requires a …
a significant role in making essential decisions for human diseases. Lung cancer requires a …
Lung cancer detection based on CT-scan images with detection features using gray level co-occurrence matrix (GLCM) and support vector machine (SVM) methods
Lung cancer is all malignant diseases in the lungs, including malignancies originating from
the lungs themselves (primary) or those originating from other organs (metastasis). Lung …
the lungs themselves (primary) or those originating from other organs (metastasis). Lung …
[PDF][PDF] Iris recognition using convolutional neural network
It is indispensable to ensure security biometrically in the most authentication and
identification scenario. Iris recognition regarded as the most reliable biometric recognition …
identification scenario. Iris recognition regarded as the most reliable biometric recognition …
Detection of lung cancer using convolution neural network
C Shankara, SA Hariprasad, DU Latha - SN Computer Science, 2023 - Springer
In the modern world, one of the most prevalent and hazardous cancers is the lung cancer
disease that causes the most fatalities each year. Accurate lung cancer identification could …
disease that causes the most fatalities each year. Accurate lung cancer identification could …
Analysis of kernel performance in support vector machine using seven features extraction for obstacle detection
Many electric powered wheelchairs (EPW) users fall due to the user's carelessness of the
road conditions in front of them that will have a significant impact on accidents. The process …
road conditions in front of them that will have a significant impact on accidents. The process …
Artificial neural network for lung cancer detection using CT images
C Shankara, SA Hariprasad - International journal of health sciences, 2022 - neliti.com
Lung Cancer is the second most serious disease in today's world due to which the mortality
rate is increasing every year. Accurate and early identification of cancer in the lung could …
rate is increasing every year. Accurate and early identification of cancer in the lung could …
Lung cancer detection using textural feature extraction and hybrid classification model
J Kaur, M Gupta - Proceedings of Third International Conference on …, 2022 - Springer
Medical image processing (MIP) offers powerful and promising key developments in
modernistic three-dimensional (3D) medical imaging based on science and medicine due to …
modernistic three-dimensional (3D) medical imaging based on science and medicine due to …