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.
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: | |
Online Erişim: | http://hdl.handle.net/10361/17647 |
Benzer Materyaller
-
Thinness and fecundability: Time to pregnancy after adolescent marriage in rural Bangladesh
Yazar:: Hur, Jinhee, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
Gestational weight gain and newborn anthropometric outcomes in rural Bangladesh
Yazar:: Kac, Gilberto, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
Yazar:: Khan, Afsana, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
Single and multi-view 2D image processing for enhanced 3D object reconstruction
Yazar:: Ghosh, Swapnil, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
An overview: extent of teratogenicity of common medications in fetal development
Yazar:: Islam, Humayra
Baskı/Yayın Bilgisi: (2022)