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.

Opis bibliograficzny
Główni autorzy:	Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Kolejni autorzy:	Rabiul Alam, Dr. Md. Golam
Format:	Praca dyplomowa
Język:	en_US
Wydane:	Brac University 2022
Hasła przedmiotowe:	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)
Dostęp online:	http://hdl.handle.net/10361/17647

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