Development and estimation of the models for early prediction of pancreatic cancer using deep learning
| dc.contributor.author | Shmatko, O. V. | |
| dc.contributor.author | Gamayun, I. | |
| dc.contributor.author | Dorohyi, M. | |
| dc.contributor.author | Шматко, О. В. | |
| dc.date.accessioned | 2025-08-29T08:59:28Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The development of efficient diagnostic tools for the early detection of pancreatic cancer is critical due to the disease's high mortality rate and often late diagnosis. This research focuses on leveraging deep learning models, particularly convolutional neural networks (CNN) and YOLO-based architectures, to enhance the accuracy of cancer detection using medical imaging. The article reviews existing techniques and proposes a novel approach to image classification for identifying cancerous growths in the pancreas. The results demonstrate improved accuracy in diagnosis, highlighting the potential for early intervention. | |
| dc.identifier.citation | Shmatko O. V., Gamayun I., Dorohyi M. Development and estimation of the models for early prediction of pancreatic cancer using deep learning. Scientific Trends and Trends in the Context of Globalization : proceedings of the 8th International Scientific and Practical Conference (November 19-20, 2024. Umeå, Kingdom of Sweden). 2024. № 225. Р. 505-516. DOI: 10.51582/interconf.19-20.11.2024.050 | |
| dc.identifier.citation | Shmatko, O. V., Gamayun, I., Dorohyi, M. Development and estimation of the models for early prediction of pancreatic cancer using deep learning. (2024). Scientific Trends and Trends in the Context of Globalization : proceedings of the 8th International Scientific and Practical Conference (November 19-20, 2024. Umeå, Kingdom of Sweden), 225, 505-516. Doi: 10.51582/interconf.19-20.11.2024.050 | |
| dc.identifier.doi | 10.51582/interconf.19-20.11.2024.050 | |
| dc.identifier.uri | https://dspace.mipolytech.education/handle/mip/2347 | |
| dc.language.iso | uk | |
| dc.publisher | InterConf | |
| dc.subject | Pancreatic cancer | |
| dc.subject | deep learning | |
| dc.subject | convolutional neural networks | |
| dc.subject | medical imaging | |
| dc.subject | YOLO | |
| dc.title | Development and estimation of the models for early prediction of pancreatic cancer using deep learning | |
| dc.type | Thesis |
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