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
This project is based on deep machine learning to perform automatic segmentation of liver cancer cases depicted in computed tomography (CT) images. The segmentation results obtained through this approach were then compared to those generated using atlas-based automatic segmentation. A U-Net neural network with an encoder-decoder architecture was developed. The deep ANN (Artificial Neural Network) that underwent training successfully conducted automatic segmentation of CT images for 36 instances of liver cancer.
Keywords:
ESP8266, ANN, Arduino Uno, Python Software, GSM/GPS module.
Cite Article:
"Automated segmentation of focal liver segment on CT scan using machine learning based on ANN ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 1, page no.136 - 140, January-2024, Available :http://www.ijsdr.org/papers/IJSDR2401020.pdf
Downloads:
000338721
Publication Details:
Published Paper ID: IJSDR2401020
Registration ID:209771
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 136 - 140
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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