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.

מידע ביבליוגרפי
Main Authors: Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
מחברים אחרים: Alam, Md. Golam Rabiul
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2024
נושאים:
CNN
State space models
MedMamba
MedMambaSE
Maternal-fetal
Artificial intelligence > Medical applications.
Fetuses-Ultrasonic imaging.
Diagnostic imaging > Digital techniques.
גישה מקוונת:http://hdl.handle.net/10361/24337

אינטרנט

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

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