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cs.CV2024★ 2 cited
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images
Dibyasree Guha, Shyamali Mitra, Somenath Kuiry +1
Quantum neural networks are deemed suitable to replace classical neural networks in their ability to learn and scale up network models using quantum-exclusive phenomena like superp…
cs.CV2020
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
Soumyajyoti Dey, Soham Das, Swarnendu Ghosh +3
One of the most challenging aspects of medical image analysis is the lack of a high quantity of annotated data. This makes it difficult for deep learning algorithms to perform well…