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.

Opis bibliograficzny
Główni autorzy: Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
Kolejni autorzy: Alam, Md. Golam Rabiul
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2024
Hasła przedmiotowe:
CNN
State space models
MedMamba
MedMambaSE
Maternal-fetal
Artificial intelligence > Medical applications.
Fetuses-Ultrasonic imaging.
Diagnostic imaging > Digital techniques.
Dostęp online:http://hdl.handle.net/10361/24337

Internet

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

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