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.

書誌詳細
主要な著者:	Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
その他の著者:	Rabiul Alam, Dr. Md. Golam
フォーマット:	学位論文
言語:	en_US
出版事項:	Brac University 2022
主題:	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)
オンライン･アクセス:	http://hdl.handle.net/10361/17647

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