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Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model
Bladder cancer ranks within the top 10 most diagnosed cancers worldwide and is among the most expensive cancers to treat due to the high recurrence rates which require lifetime follow-ups.
Dynamic Early Exiting Predictive Coding Neural Networks
Internet of Things (IoT) sensors are nowadays heavily utilized in various real-world applications ranging from wearables to smart buildings passing by agrotechnology and health monitoring.
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Although deep learning has made strides in the field of deep noise suppression, leveraging deep architectures on resource-constrained devices still proved challenging.
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