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.

Bibliographische Detailangaben
Hauptverfasser: Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Weitere Verfasser: Rabiul Alam, Dr. Md. Golam
Format: Abschlussarbeit
Sprache:en_US
Veröffentlicht: Brac University 2022
Schlagworte:
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 Zugang:http://hdl.handle.net/10361/17647

Online

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

Ähnliche Einträge