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Hybrid CNN-LSTM network to detect Dysarthria using Mel-Frequency Cepstral Coefficients
Dysarthria is a speech problem acquired at birth due to cerebral palsy (CP) or developed after severe brain damage. Dysarthria affects …
Kush Vora, Dishant Padalia, Darshil Mehta, Deepak Sharma
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Hybrid CNN-LSTM network to detect Dysarthria using Mel-Frequency Cepstral Coefficients
An Attention U-Net for Semantic Segmentation of Dental Panoramic X-ray images
Dental disorders can lead to serious implications such as heart attack or strokes if not diagnosed and treated early. The diagnosis of …
Dishant Padalia, Kush Vora, Deepak Sharma
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An Attention U-Net for Semantic Segmentation of Dental Panoramic X-ray images
MRI image denoising using U-Net and Image Processing Techniques
Brain tumors are one of the leading causes of death, and hence it is critical to diagnose them early. MRI is the most effective …
Darshil Mehta, Dishant Padalia, Kush Vora, Ninad Mehendale
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MRI image denoising using U-Net and Image Processing Techniques