Deep learning algorithms improve tumour detection in medical images

Researchers from the Fraunhofer Institute for Medical Image Computing (MEVIS) in Bremen, Germany have developed software that uses deep learning to facilitate the detection of tumours in progressive cancer treatment images. The package will be demonstrated in Chicago at the world’s largest radiology meeting, RSNA, on 27 November to 2 December. CT and MRI scans are often performed to determine whether a tumour has shrunk during the course of a cancer treatment. In most cases, tumour progression is evaluated only visually, which leads to new tumours often being overlooked. The new program – after being trained using large data sets beforehand to identify common features and patterns – can identify and reveal changes in tumour images automatically, bringing them to the attention of physicians, whereas previously they may have gone…


Link to Full Article: Deep learning algorithms improve tumour detection in medical images

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