Computer Aided Diagnosis of Pancreatic Tumour Detection based on CT Images

Rapur Krishna Preethi , Rohitha Vethsa , M.Gowri

: 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.

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

Published Paper   E-Certificate

"Computer Aided Diagnosis of Pancreatic Tumour Detection based on CT Images", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 3, page no.309 - 313, March-2024, Available :https://ijsdr.org/papers/IJSDR2403047.pdf

Volume 9 Issue 3, March-2024

Pages : 309 - 313

Paper Reg. ID: IJSDR_210323

Published Paper Id: IJSDR2403047

Downloads: 000347087

Research Area: Engineering

Country: Kelambakkam, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2403047

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2403047

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition