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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: | Computer Aided Diagnosis of Pancreatic Tumour Detection based on CT Images |
| Authors Name: | Rapur Krishna Preethi , Rohitha Vethsa , M.Gowri |
| Unique Id: | IJSDR2403047 |
| Published In: | Volume 9 Issue 3, March-2024 |
| Abstract: | Computer-Aided Diagnosis of Pancreatic Tumor Based on CT Images" focuses on the development and implementation of a sophisticated system for the automated detection and diagnosis of pancreatic tumors using computed tomography (CT) images. The objective is to enhance the efficiency and accuracy of medical diagnoses by leveraging advanced image processing and machine learning techniques. The methodology involves pre-processing CT images to extract relevant features, followed by the application of machine learning algorithms to classify the images into tumor and non-tumor categories. The system aims to provide a reliable and timely diagnosis, facilitating early detection and intervention for pancreatic tumors. The project addresses the pressing need for innovative technologies in the field of medical imaging, aiming to improve the overall prognosis and treatment outcomes for patients with pancreatic cancer. In addition to the core diagnostic capabilities, the project explores the integration of deep learning mod |
| Keywords: | : Pancreatic Tumor, Early Detection, CT Images, Image Processing, CNN Model Architecture, Training Accuracy, Multi-class Classification, Hard Hierarchical Decision Structure (HDS), Feature Engineering, Soft Hierarchical Decision Structure (SDS), Class Probability Values, Ultrasensitive Protease/Arginase Analyses, Classification Accuracy, Early-Stage Pancreatic Cancer Detection. |
| Cite Article: | "Computer Aided Diagnosis of Pancreatic Tumour Detection based on CT Images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 3, page no.309 - 313, March-2024, Available :http://www.ijsdr.org/papers/IJSDR2403047.pdf |
| Downloads: | 000337362 |
| Publication Details: | Published Paper ID: IJSDR2403047 Registration ID:210323 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: 309 - 313 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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