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A comprehensive survey on the progress, process, and challenges of lung cancer detection and classification
Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …
rate is increasing step by step. There are chances of recovering from lung cancer by …
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach
Prostate Cancer in men has become one of the most diagnosed cancer and also one of the
leading causes of death in United States of America. Radiologists cannot detect prostate …
leading causes of death in United States of America. Radiologists cannot detect prostate …
Feature ranking importance from multimodal radiomic texture features using machine learning paradigm: A biomarker to predict the lung cancer
The machine learning based techniques for detection of lungs cancer can assist the
clinicians in assessing the risk of pulmonary nodules being malignant. We are develo** …
clinicians in assessing the risk of pulmonary nodules being malignant. We are develo** …
[HTML][HTML] Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands
An efficient management and better scheduling by the power companies are of great
significance for accurate electrical load forecasting. There exists a high level of uncertainties …
significance for accurate electrical load forecasting. There exists a high level of uncertainties …
Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques
Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …
The deep learning ResNet101 and ensemble XGBoost algorithm with hyperparameters optimization accurately predict the lung cancer
Lung cancer is the most common and second leading cause of cancer with lowest survival
rate due to lack of efficient diagnostic tools. Currently, researchers are devising artificial …
rate due to lack of efficient diagnostic tools. Currently, researchers are devising artificial …
[HTML][HTML] Lung cancer prediction using robust machine learning and image enhancement methods on extracted gray-level co-occurrence matrix features
In the present era, cancer is the leading cause of demise in both men and women
worldwide, with low survival rates due to inefficient diagnostic techniques. Recently …
worldwide, with low survival rates due to inefficient diagnostic techniques. Recently …
A method for optimal detection of lung cancer based on deep learning optimized by marine predators algorithm
X Lu, YA Nanehkaran… - Computational …, 2021 - Wiley Online Library
Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy
organs located in the chest. These cells may penetrate outside the lungs in a process called …
organs located in the chest. These cells may penetrate outside the lungs in a process called …
Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI
Accurate classification of brain tumor subtypes is important for prognosis and treatment.
Researchers are develo** tools based on static and dynamic feature extraction and …
Researchers are develo** tools based on static and dynamic feature extraction and …
[PDF][PDF] Machine learning based congestive heart failure detection using feature importance ranking of multimodal features
In this study, we ranked the Multimodal Features extracted from Congestive Heart Failure
(CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 …
(CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 …