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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Mithila, Maliha Tabassum, Prome, Tasnim Ahsan, Tabassum, Elmi, Kamrul, Sameha, samiha, Nausheen
مؤلفون آخرون:	Rabiul Alam, Dr. Md. Golam
التنسيق:	أطروحة
اللغة:	en_US
منشور في:	Brac University 2022
الموضوعات:	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)
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/17647

مواد مشابهة

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