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.

Detaylı Bibliyografya
Asıl Yazarlar: Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
Diğer Yazarlar: Rabiul Alam, Dr. Md. Golam
Materyal Türü: Tez
Dil:en_US
Baskı/Yayın Bilgisi: Brac University 2022
Konular:
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 Erişim:http://hdl.handle.net/10361/17647

Internet

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

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