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338478

Deep Learning Medical Image Segmentation Methods: A Survey

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Last updated: 04 Jan 2025

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Abstract

Medical image segmentation is essential for detecting and localizing tumors in medical image analysis. Image segmentation involves the identification of anatomical structures in images. Medical image segmentation starts with manual segmentation using Atlas methods, then auto-segmentation, facilitated by deep learning algorithms. Deep learning-based medical image segmentation retains a significant pledge in reducing treatment planning, radiation-related toxicities, and side effects. This study provides a complete overview of deep-learning medical image segmentation models. We review various deep-learning models and architectures applied to medical image segmentation, including fully convolutional networks, U-Net, and attention-based models. This literature review discusses using different loss functions, data augmentation techniques, and transfer learning in deep learning-based medical image segmentation and several types of medical image modality. Evaluation analysis encloses benchmark datasets for human body organs such as the brain, lungs, chest, and liver. Finally, we summarize the challenges and future directions of deep learning for medical image segmentation.  

DOI

10.21608/fcihib.2024.189094.1079

Keywords

Medical Image Segmentation, Computed To- mography (CT), Magnetic resonance imaging (MRI), Deep learning, CNN, U-Net

Authors

First Name

مى

Last Name

مختار

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-

Affiliation

قسم علوم الحاسب، كلية الحاسبات والذكاء الاصطناعي، جامعة حلوان، القاهرة، مصر

Email

maimokhtar996@gmail.com

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-

Orcid

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First Name

هالة

Last Name

عبد الجليل

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-

Affiliation

قسم علوم الحاسب، كلية الحاسبات والذكاء الاصطناعي، جامعة حلوان، القاهرة، مصر

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hala.nagy@fci.helwan.edu.eg

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-

Orcid

-

First Name

غادة

Last Name

خوريبه

MiddleName

-

Affiliation

قسم علوم الحاسب، كلية الحاسبات والذكاء الاصطناعي، جامعة حلوان، القاهرة، مصر, كلية تكنولوجيا المعلومات وعلوم الحاسب، جامعة النيل، الجيزة، مصر

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ghadakhoriba@nu.edu.eg

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-

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-

Volume

6

Article Issue

1

Related Issue

45796

Issue Date

2024-01-01

Receive Date

2023-03-02

Publish Date

2024-01-01

Page Start

1

Page End

10

Print ISSN

2537-0901

Online ISSN

2535-1397

Article File

FCIHIB_Volume 6_Issue 1_Pages 1-10.pdf

PDF . 656.5kB

Link

https://fcihib.journals.ekb.eg/article_338478.html

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https://fcihib.journals.ekb.eg/service?article_code=338478

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338,478

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المقالة الأصلية

Type Code

1,411

Publication Type

Journal

Publication Title

النشرة المعلوماتية في الحاسبات والمعلومات

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https://fcihib.journals.ekb.eg/

MainTitle

Deep Learning Medical Image Segmentation Methods: A Survey

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Article

Created At

26 Dec 2024