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.

ग्रंथसूची विवरण
मुख्य लेखकों: Riju, Tanjim Islam, Ramisha, Tahsin Tanim, Aksa, Nusrat Billah, Kabir, Johan H
अन्य लेखक: Alam, Md. Golam Rabiul
स्वरूप: थीसिस
भाषा:English
प्रकाशित: Brac University 2024
विषय:
CNN
State space models
MedMamba
MedMambaSE
Maternal-fetal
Artificial intelligence > Medical applications.
Fetuses-Ultrasonic imaging.
Diagnostic imaging > Digital techniques.
ऑनलाइन पहुंच:http://hdl.handle.net/10361/24337

इंटरनेट

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

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