A comparative analysis of the different CNN-LSTM model caption generation of medical images
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
المؤلفون الرئيسيون: | Amin, Mahzabin Yasmin Binte, Shammo, Weney Hasan, Sayed, Jawad Bin, Hossain, MD Junaied |
---|---|
مؤلفون آخرون: | Alam, Md. Golam Rabiul |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2023
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/22042 |
مواد مشابهة
-
Automatic Bengali image captioning using efficientNet-transformer network and vision transformer
بواسطة: Kabir, Muhammad Khubayeeb, وآخرون
منشور في: (2023) -
Automated image caption generator in Bangla using multimodal learning
بواسطة: Rodoshi, Mashiat Hasin, وآخرون
منشور في: (2023) -
A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
بواسطة: Rahman, Aryan, وآخرون
منشور في: (2023) -
ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
بواسطة: Dipto, Shakib Mahmud
منشور في: (2024) -
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
بواسطة: Uddin, Mohammad Sakib, وآخرون
منشور في: (2024)