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.

Bibliografische gegevens
Hoofdauteurs: Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Andere auteurs: Rabiul Alam, Dr. Md. Golam
Formaat: Thesis
Taal:en_US
Gepubliceerd in: Brac University 2022
Onderwerpen:
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 toegang:http://hdl.handle.net/10361/17647

Internet

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

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