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.

Podrobná bibliografie
Hlavní autoři:	Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Další autoři:	Rabiul Alam, Dr. Md. Golam
Médium:	Diplomová práce
Jazyk:	en_US
Vydáno:	Brac University 2022
Témata:	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)
On-line přístup:	http://hdl.handle.net/10361/17647

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