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.

Detalhes bibliográficos
Main Authors: Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Outros Autores: Rabiul Alam, Dr. Md. Golam
Formato: Thesis
Idioma:en_US
Publicado em: Brac University 2022
Assuntos:
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)
Acesso em linha:http://hdl.handle.net/10361/17647

Internet

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

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