Artificial Intelligence applied to a Medical computerized system to support Pathological Anatomy Services
Development of an intelligent guided diagnosis computerized system based on Deep Learning (Convolutional Neural Networks) capable of detecting cancer in histological images in order to support the Pathologists in their decision making.
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Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other hand, pathologists are overworked and this is
Cervical cancer is caused in the vast majority of cases by the human papillomavirus through sexual contact and requires a specific analysis with specialised equipment