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.

Библиографические подробности
Главные авторы: Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Другие авторы: Rabiul Alam, Dr. Md. Golam
Формат: Диссертация
Язык:en_US
Опубликовано: Brac University 2022
Предметы:
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-ссылка:http://hdl.handle.net/10361/17647

Internet

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

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