Abstract. Machine learning offers significant potential for lung cancer detection, enabling early diagnosis and potentially improving patient outcomes. Feature extraction remains a crucial challenge in this domain. Combining the most relevant features can further enhance detection accuracy.
In this review, we provide an overview of machine learning-based approaches that strengthen the varying aspects of lung cancer diagnosis and therapy.
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Aug 22, 2022 · This research shows an accurate classification and prediction of lung cancer using technology that is enabled by machine learning and image processing.
Aug 16, 2023 · To identify and classify lung cancer efficiently, this study introduces a methodology for designing an effective ML-classification model. The ...
Jan 14, 2022 · We developed and validated a deep learning (DL)-based model using the segmentation method and assessed its ability to detect lung cancer on chest radiographs.
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Deep learning based on CNNs accurately detects cancerous tissues and malignant tumors, predicts survival, and finds common mutations. In recent years, ...
Feb 20, 2023 · This research uses the Deep Learning algorithm Convolutional Neural Network (CNN) to detect a Lung Nodule, which can be cancerous, from different CT Scan ...
This research article proposes a novel method for an early and accurate diagnosis called Cancer Cell Detection using Hybrid Neural Network (CCDC-HNN).
Various studies for detection of lung cancer with the ML techniques. To predict the lung cancer mostly multi-stage classification is used.
Jul 8, 2024 · Deep Convolutional Neural Networks (DCNN) is the best technique to detect lungs cancer in the field of machine learning. The highest levels of ...
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