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“We believe that the proposed network architecture could easily be implemented in a clinical setting, providing a simple, inexpensive and accurate screening tool for SSc.” According to the University of Houston, early diagnosis of SSc is critical but often elusive. Studies have shown that organ involvement could occur far earlier than expected in the early phase of the disease, but early diagnosis and determining the extent of disease progression pose a significant challenge for physicians, resulting in delays in therapy and management. In artificial intelligence, deep learning organises algorithms into layers – an artificial neural network – that can make its own decisions. To speed up the learning process, the new network was trained using the parameters of MobileNetV2, a mobile vision application, pre-trained on the ImageNet dataset with 1.4 million images.

Metin akayJohns dunnYasemin akayConvolutional neural networks cnnsBiomedical engineering departmentUniversity of houstonEndowed chair professorConvolutional neural networksஜான்ஸ் டன்உயிர் மருத்துவ பொறியியல் துறைபல்கலைக்கழகம் ஆஃப் ஹூஸ்டன்வழங்கப்பட்டது நாற்காலி ப்ரொஃபெஸர்