Lung Cancer detection using Deep Learning
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915100955246592 |
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| author | Chaudhari, Aryan Singh, Ankush Gajbhiye, Sanchi Agrawal, Pratham |
| author_facet | Chaudhari, Aryan Singh, Ankush Gajbhiye, Sanchi Agrawal, Pratham |
| contents | In this paper we discuss lung cancer detection using hybrid model of Convolutional-Neural-Networks (CNNs) and Support-Vector-Machines-(SVMs) in order to gain early detection of tumors, benign or malignant. The work uses this hybrid model by training upon the Computed Tomography scans (CT scans) as dataset. Using deep learning for detecting lung cancer early is a cutting-edge method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_07197 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Lung Cancer detection using Deep Learning Chaudhari, Aryan Singh, Ankush Gajbhiye, Sanchi Agrawal, Pratham Image and Video Processing Computer Vision and Pattern Recognition Machine Learning In this paper we discuss lung cancer detection using hybrid model of Convolutional-Neural-Networks (CNNs) and Support-Vector-Machines-(SVMs) in order to gain early detection of tumors, benign or malignant. The work uses this hybrid model by training upon the Computed Tomography scans (CT scans) as dataset. Using deep learning for detecting lung cancer early is a cutting-edge method. |
| title | Lung Cancer detection using Deep Learning |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2501.07197 |