Fetal plane classification from 2D-ultrasound images leveraging squeeze and excitation self-attention mechanism for feature recalibration in MedMamba

Fetal plane classification from 2D-ultrasound images leveraging squeeze and excitation self-attention mechanism for feature recalibration in MedMamba

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Detaylı Bibliyografya
Asıl Yazarlar: Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
Diğer Yazarlar: Alam, Md. Golam Rabiul
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2024
Konular:
CNN
State space models
MedMamba
MedMambaSE
Maternal-fetal
Artificial intelligence > Medical applications.
Fetuses-Ultrasonic imaging.
Diagnostic imaging > Digital techniques.
Online Erişim:http://hdl.handle.net/10361/24337

Internet

http://hdl.handle.net/10361/24337

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