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U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images

U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiske detaljer
Main Authors: Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Andre forfattere: Rabiul Alam, Dr. Md. Golam
Format: Thesis
Sprog:en_US
Udgivet: Brac University 2022
Fag:
Biometric Parameters
Gestational Age
U-net
Semantic Segmentation
Head Circumference
Abdominal Circumference
Femur Length
Deep Neural Network
Convolution
Autonomous
Image processing > Digital techniques
Neural networks (Computer science)
Online adgang:http://hdl.handle.net/10361/17647
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Internet

http://hdl.handle.net/10361/17647

Lignende værker

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    Udgivet: (2022)
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    Udgivet: (2022)
  • Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
    af: Khan, Afsana, et al.
    Udgivet: (2022)
  • Single and multi-view 2D image processing for enhanced 3D object reconstruction
    af: Ghosh, Swapnil, et al.
    Udgivet: (2024)
  • Biometric retina identification using artificial approach
    af: Imam, Syed Abrar, et al.
    Udgivet: (2023)

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