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Deep learning techniques have been used in various disciplines, ranging from simple data processing to complicated image classification tasks. Deepfakes is a deep learning approach with benefits and drawbacks impacting the world. However, deepfakes are now cutting-edge technology being exploited...
This paper proposes new descriptors for recognising face and facial expressions. Our descriptors consist in combining local directional gradients with support vector machine (SVM) linear classification. This combination allows extracting discriminant facial expressions features for better...
Breast cancer growth has become a typical factor nowadays. Physician experience of diagnosing and detecting breast cancer can be assisted by using some computerised features extraction and classification algorithms. In the recent times, breast cancer can be diagnosed by classifying tumours. In...
Stroke is an emergency condition and must be treated immediately to increase the survivability rate. We propose an automatic detection approach to identify the ischemic stroke infarcts based on deep neural network (DNN) architecture using diffusion-weighted imaging (DWI) sequences of magnetic...
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