Machine learning based lung cancer prediction system for managing incidental or screen detected indeterminate pulmonary nodules, has pre-trained convolutional neural networks for training network and computed tomography image classification
2023-10-16
专利权人BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期2023-10-16
专利号IN202341069902-A
成果简介NOVELTY - The system has a pre-trained Convolutional neural networks (CNN)(Deep learning networks) for training network and computed tomography image classification. The system assist clinicians in managing incidental or screen detected indeterminate pulmonary nodules. The system reduces variability in nodule classification, improves decision making and ultimately reduces the number of benign nodules that are needlessly followed or worked-up. An overview of a main lung cancer is proposed to date and highlight some of relative strengths and weaknesses. The evaluation of models is calculated by matrices e.g. confusion matrix. The CNN(Deep learning networks) depends on pre-processing. USE - Machine learning based lung cancer prediction system for assisting clinicians in managing incidental or screen detected indeterminate pulmonary nodules. The system reduces variability in nodule classification, improves decision making and ultimately reduces the number of benign nodules that are needlessly followed or worked-up. ADVANTAGE - The system predicts whether a person residing in the city of Dehradun can fall diabetic in future based on the person present daily lifestyle activities and identifies the lifestyle activities. The system is easy to understand and fast to implement. The system has the highest accuracy among all algorithms that predicts images.
IPC 分类号A61B-005/00 ; G06N-020/00 ; G06N-003/0464
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/19805
专题中国科学院新疆生态与地理研究所
作者单位
BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式
GB/T 7714
KALIYAMURTHIE K P,VENKATESH K,SATHISH Y,et al. Machine learning based lung cancer prediction system for managing incidental or screen detected indeterminate pulmonary nodules, has pre-trained convolutional neural networks for training network and computed tomography image classification. IN202341069902-A[P]. 2023.
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