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Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
Machine Learning‐Based Lung Cancer Detection Using Multiview Image Registration and Fusion
The exact lung cancer identification is a critical problem that has attracted the researchers'
attention. The practice of multiview single image and segmentation has been widely used for …
attention. The practice of multiview single image and segmentation has been widely used for …
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 …
A Comprehensive Study and Research Perception towards Secured Data Sharing for Lung Cancer Detection with Blockchain Technology
Modernization in the healthcare industry is happening with the support of artificial
intelligence and blockchain technologies. Collecting healthcare data is done through any …
intelligence and blockchain technologies. Collecting healthcare data is done through any …
Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms
Breast cancer (BC) masses and microcalcification are nonlinear with complex dynamics due
to which radiologists fail to properly diagnose breast cancer. In this paper, we used a hybrid …
to which radiologists fail to properly diagnose breast cancer. In this paper, we used a hybrid …