X-Ray Analytics
Developed Xray analytics to read chest x-rays and assist radiologists to read and predict the cause and accurate diagnosis. It uses deep learning algorithms such as CNN, RNN and Dense-Net on CHEXNET data sources. Humans can miss many non obvious diagnosis and minimal specialist availability in rural/undeveloped areas, our X-Ray Analytics app helps to reduce missed identification using AI algorithms, hospitals increase diagnosis efficiency and accuracy and rural areas get better coverage and efficiency. Our X-Ray Analytics solution Utilized ChexNet data set & Stanford University DenseNet Neural network model To Analyze X-Rays & provide potential issue description with % probability. X-Ray Analytics helps hospitals serve patients faster with higher accuracy and 30% increase in savings by reducing errors and delays.
About Me
Mr. Swamy has over 20 year experience in the IT industry including research, development and leading teams in various software technologies. He gained depth of industrial knowledge in AI technologies such as Machine Learning, Deep Learning. Mr. Swamy before dedicating to Deemsoft, he has worked for AT&T Labs as R&D Engineer for 16+ years and before that he worked for Satyam Computer Service Ltd for 4 years. Mr. Swamy has Master and Bachelors degree in Computer Science & Engineering from Bengaluru University college of UVCE.
$ 20 USD/hr
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