The current mode of clinical aided diagnosis Ocular Myasthenia Gravis (OMG) is time-consuming and laborious, it lacks quantitative standards. An diagnostic system for OMG proposed to solve this problem. values calculated by the include three indicators: eyelid distance, sclera palpebra superior fatigability test time. For first two indicators, semantic segmentation method was used extract patho...

Narcolepsy with cataplexy is a severe lifelong disorder characterized, among others, by sudden loss of bilateral face muscle tone triggered emotions (cataplexy). A recent approach for the diagnosis disease based on completely manual analysis video recordings patients undergoing emotional stimulation made on-site medical specialists, looking specific facial behavior motor phenomena. We present h...

Skin lesion can be deadliest if not detected early. Early detection of skin save many lives. Artificial Intelligence and Machine learning is helping healthcare in ways so the diagnosis lesion. Computer aided help clinicians detecting cancer. The study was conducted to classify seven classes using very powerful convolutional neural networks. two pre trained models i.e DenseNet Incepton-v3 were e...

The greatest cause of death for both men and women globally is lung cancer. This mostly because it manifests no symptoms at first only identified a late stage, when the patient's condition has already gotten worse. Typically, skilled expert will thoroughly examine CT scans to make diagnosis Finding interpreting abnormalities on scan can be quite challenging, even highly medical professionals. I...