Abstract: Correct identification of different skin lesions, such as melanoma, from dermatoscopic images is a major challenge for automated systems, thus causing delay in early diagnosis. Most of the ...
Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...
Abstract: Neurological disorder diagnosis from EEG signals is hindered by low data resolution and limitations in feature extraction. In this work, the use of Enhanced Super-Resolution Generative ...
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