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.

Detalles Bibliográficos
Autores principales: Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Otros Autores: Rabiul Alam, Dr. Md. Golam
Formato: Tesis
Lenguaje:en_US
Publicado: Brac University 2022
Materias:
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)
Acceso en línea:http://hdl.handle.net/10361/17647

Internet

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

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