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Unbalanced and Small Sample Deep Learning For COVID X-Ray Classification PDF

13 Pages·2021·English
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by ['S. SreeRamaVamsidhar']| 2021| 13 pages| English

About Unbalanced and Small Sample Deep Learning For COVID X-Ray Classification

The document discusses developing a deep learning model for COVID-19 chest X-ray classification using limited and imbalanced data. It proposes using data sampling techniques, specialized loss functions, and an attention-based convolutional neural network to achieve high recall while maintaining accuracy. Transfer learning is used to pretrain the model on larger chest X-ray datasets before fine-tuning on a smaller COVID-19 dataset. Experimental results show the approach achieves 96% recall and 92.5% accuracy for COVID-19 classification.

Detailed Information

Author:['S. SreeRamaVamsidhar']
Publication Year:2021
Pages:13
Language:English
Format:PDF
Price:FREE
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