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.

Dades bibliogràfiques
Autors principals:	Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Altres autors:	Rabiul Alam, Dr. Md. Golam
Format:	Thesis
Idioma:	en_US
Publicat:	Brac University 2022
Matèries:	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)
Accés en línia:	http://hdl.handle.net/10361/17647

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