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.

Bibliografiset tiedot
Päätekijät:	Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
Muut tekijät:	Alam, Md. Golam Rabiul
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	CNN State space models MedMamba MedMambaSE Maternal-fetal Artificial intelligence > Medical applications. Fetuses-Ultrasonic imaging. Diagnostic imaging > Digital techniques.
Linkit:	http://hdl.handle.net/10361/24337

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