UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFX06066


Registration ID:
516951

Page Number

377-380

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Title

A survey of UNet in medical images

Abstract

UNet has become a very popular architecture for medical image segmentation due to its high accuracy and ability to handle complex anatomical structures. Medical image segmentation is the process of identifying and delineating specific structures or regions of interest within medical images, such as CT scans or MRI images. UNet has been used for a variety of medical image segmentation tasks, including segmentation of brain tumors, liver and spleen segmentation, cardiac segmentation, and segmentation of blood vessels in angiography images. The use of UNet in medical image segmentation has led to significant improvements in accuracy and speed compared to traditional segmentation methods and has enabled more accurate diagnosis and treatment planning for a variety of medical conditions. One advantage of UNet is its ability to handle the class imbalance problem that is commonly encountered in medical image segmentation tasks, where the number of pixels belonging to the target class is much smaller than those belonging to the background. This paper conducts a formal review of the concept of unet in medical images.

Key Words

UNet, deep learning, machine learning

Cite This Article

"A survey of UNet in medical images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.377-380, May-2023, Available :http://www.jetir.org/papers/JETIRFX06066.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A survey of UNet in medical images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp377-380, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06066.pdf

Publication Details

Published Paper ID: JETIRFX06066
Registration ID: 516951
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: 377-380
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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