Liver Segmentation Using Computer Vision

HARSHAL SUDHAKAR PATIL , KARAN VIJAY MUDKONDWAR , RITVIK PANDURANG NIMJE , ISHA LANJEWAR , SHWETA BELONDE

𝐷 𝐼𝐶𝑂𝑀 = Digital Imaging and Communications in Medicine 𝐻𝐶𝑉 = hepatitis C virus 𝐶𝑇 = Computed Tomography 𝐿𝑖𝑇 𝑆 = Liver Tumor Segmentation 𝑁 𝐼 𝑓 𝑇 𝐼 = Neuroimaging Informatics Technology Initiative 𝑅𝑇 𝑆𝑇 𝑅𝑈𝐶𝑇 = Radiotherapy Structure Set 𝐻𝑈 = Hounsfield unit 𝑅𝑒𝐿𝑢 = Rectified Linear Unit

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.

Published Paper   E-Certificate

"Liver Segmentation Using Computer Vision", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.692 - 694, December-2022, Available :https://ijsdr.org/papers/IJSDR2212106.pdf

Volume 7 Issue 12, December-2022

Pages : 692 - 694

Paper Reg. ID: IJSDR_202874

Published Paper Id: IJSDR2212106

Downloads: 000347255

Research Area: Other

Country: NAGPUR, MAHARASHTRA, INDIA

Published Paper PDF: https://ijsdr.org/papers/IJSDR2212106

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2212106

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