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.

Chi tiết về thư mục
Những tác giả chính: Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
Tác giả khác: Alam, Md. Golam Rabiul
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2024
Những chủ đề:
CNN
State space models
MedMamba
MedMambaSE
Maternal-fetal
Artificial intelligence > Medical applications.
Fetuses-Ultrasonic imaging.
Diagnostic imaging > Digital techniques.
Truy cập trực tuyến:http://hdl.handle.net/10361/24337

Internet

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

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