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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | CATEGORIZATION OF PANCREATIC CANCER DATA USING CONVOLUTIONAL NEURAL NETWORK ALGORITHM |
| Authors Name: | K. Dinesh , K. Koteswara Rao , K. Gowtham Reddy , K. Venkat Narasimham , E. Benitha sowmiya |
| Unique Id: | IJSDR2404061 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | Pancreatic cancer poses significant obstacles to both detection and therapy, requiring creative methods for better classifying pertinent data. A viable approach to meeting this demand is to make use of Convolutional Neural Network (CNN) algorithms. A thorough grasp of the illness landscape can be attained by gathering and preprocessing a variety of datasets, including histopathology slides, patient records, and medical photographs. By carefully dividing the training, validation, and testing sets and creating a CNN architecture specific to the characteristics of pancreatic cancer, efficient classification is achieved. Reliability and performance are further improved by methods like rigorous model validation and transfer learning. With iterative optimization and refining, this approach has the potential to significantly improve pancreatic cancer patient care and outcomes by increasing the precision of diagnosis and the effectiveness of treatment. |
| Keywords: | Convolutional Neural Network (CNN) architecture, detection, treatment, histopathology slides, patient records, medical photos, preprocessing, training, validation, testing, classification, transfer learning, model validation, optimization, refinement, patient care, and outcomes are all related to pancreatic cancer. |
| Cite Article: | "CATEGORIZATION OF PANCREATIC CANCER DATA USING CONVOLUTIONAL NEURAL NETWORK ALGORITHM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.400 - 405, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404061.pdf |
| Downloads: | 000338171 |
| Publication Details: | Published Paper ID: IJSDR2404061 Registration ID:210761 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 400 - 405 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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