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.

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
অন্যান্য লেখক: Alam, Md. Golam Rabiul
বিন্যাস: গবেষণাপত্র
ভাষা:English
প্রকাশিত: Brac University 2024
বিষয়গুলি:
CNN
State space models
MedMamba
MedMambaSE
Maternal-fetal
Artificial intelligence > Medical applications.
Fetuses-Ultrasonic imaging.
Diagnostic imaging > Digital techniques.
অনলাইন ব্যবহার করুন:http://hdl.handle.net/10361/24337

আন্তর্জাল

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

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