Deep Learning Catches Out False Positive MammogramsNews
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
Being tall is a risk factor for the condition, according to the largest genetic study of varicose veins ever completed.READ MORE
Researchers at Case Western Reserve University have discovered how to quickly and accurately predict which lung cancer patients will benefit from chemotherapy by analyzing how immune cells the body sends out to fight the disease are arranged.READ MORE
Combining high-performance computing, high-fidelity modeling, and high-resolution medical imaging, produces simulations that have the potential to contribute to new diagnostic tools and treatment options for respiratory disease.READ MORE
MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image. Given an image and an audio caption, the model will highlight in real-time the relevant regions of the image being described.
“Cannot get asleep all night”, “a little giddy” and other complaints in social networks can now be translated into formal medical terms, such as insomnia or vertigo, after a Russian-led study involving neural networks.READ MORE
2nd International Conference on Computational Biology and Bioinformatics
May 17 - May 18, 2019