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
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:
000337363
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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