CATEGORIZATION OF PANCREATIC CANCER DATA USING CONVOLUTIONAL NEURAL NETWORK ALGORITHM

K. Dinesh , K. Koteswara Rao , K. Gowtham Reddy , K. Venkat Narasimham , E. Benitha sowmiya

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.

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.

Published Paper   E-Certificate

"CATEGORIZATION OF PANCREATIC CANCER DATA USING CONVOLUTIONAL NEURAL NETWORK ALGORITHM", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 4, page no.400 - 405, April-2024, Available :https://ijsdr.org/papers/IJSDR2404061.pdf

Volume 9 Issue 4, April-2024

Pages : 400 - 405

Paper Reg. ID: IJSDR_210761

Published Paper Id: IJSDR2404061

Downloads: 000347326

Research Area: Computer Engineering 

Country: chennai, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2404061

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2404061

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