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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
مؤلفون آخرون: Alam, Md. Golam Rabiul
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2024
الموضوعات:
CNN
State space models
MedMamba
MedMambaSE
Maternal-fetal
Artificial intelligence > Medical applications.
Fetuses-Ultrasonic imaging.
Diagnostic imaging > Digital techniques.
الوصول للمادة أونلاين:http://hdl.handle.net/10361/24337

الانترنت

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

مواد مشابهة