[BMVC'23 Oral] Offical repository of "Rethinking Transfer Learning for Medical Image Classification"
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Updated
May 27, 2024 - Python
[BMVC'23 Oral] Offical repository of "Rethinking Transfer Learning for Medical Image Classification"
Challenge of shallow neural network approximation with one-dimensional input.
Exploring "variability collapse" in shallow neural networks
Design of an one hidden layer neural network using numpy only,
Source code for the numerical experiments presented in the paper "Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks".
study of scene classification with different MLP layer types
A shallow CNN model that is trained on X-ray chest images with preprocessing step of adaptive histogram equalization.
In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.
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