International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 4 October-December 2025 Submit your research before last 3 days of December to publish your research paper in the issue of October-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 4
October-December 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Liver Cancer Prediction Using Deep learning

Author(s) MAYURI SHELKE, ATHARVADEV GONJARI, MANDAR JOSHI, SAKSHI MANE, RIDDHI KANDARKAR
Country India
Abstract Liver cancer is one of the leading causes of cancer-related mortality worldwide. Accurate and early detection of liver tumors is crucial for improving patient
survival rates. Traditional image segmentation methods, including CNN-based approaches, struggle with accurately segmenting liver tumors due to their small size and irregular boundaries. In this study, we propose an improved deep
learning approach using U-Net, an advanced version of CNN, to enhance segmentation accuracy.
Keywords Liver Cancer, Deep Learning, Image Segmentation, U-Net, CNN, Computed Tomography (CT)
Field Engineering
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-05-17
DOI https://doi.org/10.71097/IJSAT.v16.i2.5103
Short DOI https://doi.org/g9kf6h
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 16 Isu 3Cover Page Vol 16 Isu 2Cover Page Vol 16 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org