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 And Staging Of Pancreatic Tumor Based On CT Images
Authors Name:
Chandra Sekhar Muppalla
, YESHWANTH CH , RAVI TEJA N , PRANAY T , Mrs.H.Malini
Unique Id:
IJSDR2304390
Published In:
Volume 8 Issue 4, April-2023
Abstract:
Pancreatic Tumor is one of the leading causes of cancer death worldwide. However, pancreatic cancer can be cured if it is detected at an early stage. In this paper, an attempt is made to detect pancreatic tumour from CT images. It uses image processing techniques and a CNN Model Architecture to detect the tumour. After the image pre-processed, CNN Model Architecture is used to detect the tumorous area in the image. It is observed that the training accuracy of detecting tumour is around 98.7%.
Keywords:
CNN MODEL ARCHITECTURE, IPT
Cite Article:
"Computer Aided Diagnosis And Staging Of Pancreatic Tumor Based On CT Images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2512 - 2548, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304390.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR2304390
Registration ID:205556
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 2512 - 2548
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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