Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
IJSDR
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Call For Paper

Issue: March 2023

Volume 8 | Issue 3

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner




Published Paper Details
Paper Title: Liver Segmentation Using Computer Vision
Authors Name: HARSHAL SUDHAKAR PATIL , KARAN VIJAY MUDKONDWAR , RITVIK PANDURANG NIMJE , ISHA LANJEWAR , SHWETA BELONDE
Unique Id: IJSDR2212106
Published In: Volume 7 Issue 12, December-2022
Abstract: There has been a fast pace in the practice of comparing image analysis algorithms based on enormous challenges. There have been numerous investigations into the segmentation of medical images. Nevertheless, most challenges are structured in a way that centers on specific clinical tasks relevant to the challenge. We intended to investigate the hypothesis that if a method is capable of handling multiple tasks, it will also be capable of handling previously unseen tasks better. According to this study, state-of-the-art image segmentation algorithms generalize well when retrained on unseen tasks. This suggests that the algorithms are effective at distinguishing between different objects in a photo. Furthermore, consistent algorithmic performance across multiple tasks is a strong surrogate of an effective algorithm.
Keywords: 𝐷 𝐼𝐢𝑂𝑀 = Digital Imaging and Communications in Medicine 𝐻𝐢𝑉 = hepatitis C virus 𝐢𝑇 = Computed Tomography 𝐿𝑖𝑇 𝑆 = Liver Tumor Segmentation 𝑁 𝐼 𝑓 𝑇 𝐼 = Neuroimaging Informatics Technology Initiative 𝑅𝑇 𝑆𝑇 π‘…π‘ˆπΆπ‘‡ = Radiotherapy Structure Set π»π‘ˆ = Hounsfield unit 𝑅𝑒𝐿𝑒 = Rectified Linear Unit
Cite Article: "Liver Segmentation Using Computer Vision", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 12, page no.692 - 694, December-2022, Available :http://www.ijsdr.org/papers/IJSDR2212106.pdf
Downloads: 000201527
Publication Details: Published Paper ID: IJSDR2212106
Registration ID:202874
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 692 - 694
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc
Track Paper

Track Submitted Paper
Important Links

Call For Paper

Join As Reviewer
Conference Proposal
CLICK HERE
For Conference Prposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner
Copyright Β© 2023 - All Rights Reserved - IJSDR
Copyright Β© 2015 - All Rights Reserved - IJSDR