Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
मुख्य लेखकों: | Nabil, Sheikh MD. Nafis Noor, Ahmed, Sabir, Chowdhury, Naimul Haque, Maria, Farhana Eyesmeen |
---|---|
अन्य लेखक: | Hossain, Muhammad Iqbal |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
Brac University
2024
|
विषय: | |
ऑनलाइन पहुंच: | http://hdl.handle.net/10361/22857 |
समान संसाधन
-
RetinalNet-500: a newly developed CNN model for eye disease detection
द्वारा: Toki, Sadikul Alim, और अन्य
प्रकाशित: (2023) -
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
द्वारा: Irfanuddin, Chowdhury Mohammad, और अन्य
प्रकाशित: (2023) -
Efficient image processing and machine learning approach for predicting retinal diseases
द्वारा: Hasib, Mehadi Hasan, और अन्य
प्रकाशित: (2021) -
Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
द्वारा: Sharma, Tanmoyee, और अन्य
प्रकाशित: (2021) -
A secured federated learning system leveraging confidence score to identify retinal disease
द्वारा: Eshan, M Sakib Osman, और अन्य
प्रकाशित: (2023)