Automated segmentation of focal liver segment on CT scan using machine learning based on ANN

Priyadharshini.M , Mohanapriya.T , Sirajudeen.H , Angayarkanni.N

ESP8266, ANN, Arduino Uno, Python Software, GSM/GPS module.

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.

Published Paper   E-Certificate

"Automated segmentation of focal liver segment on CT scan using machine learning based on ANN ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 1, page no.136 - 140, January-2024, Available :https://ijsdr.org/papers/IJSDR2401020.pdf

Volume 9 Issue 1, January-2024

Pages : 136 - 140

Paper Reg. ID: IJSDR_209771

Published Paper Id: IJSDR2401020

Downloads: 000347221

Research Area: Engineering

Country: Namakkal, Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2401020

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2401020

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