Lung Tumor Detection Using Deep Convolutional Neural Network
Year: 2024
Type: conference-paper
Abstract: In simple terms, lung cancer is a significant challenge that the fields of science and medicine are working hard to overcome, which gives the highest mortality rate, besides being one of the smallest survival rates after diagnosis. Thereby, early detection is essential for diagnosis and treatment. All people in this universe require a proper diagnosis of the tumor. Diagnosis need to be in maximizing the payoff. Increasing the payoff is much important mainly in medical diagnosis. Machines need to do an intelligent task in diagnosis of tumor and in this case the lung tumor. Here, the investigation is done with different solvers. Deep learning with a Convolutional Neural Network compatible with the analysis of Computer tomography scans with tumors, the level of accuracy in predictions sees a tremendous enhancement. Classification of tumors by Convolutional Neural Network as malignant or benign with good accuracy is obtained.
Institution: Sathyabama Institute of Science and Technology
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4402715939