Deep-belief networks detect glioblastoma tumors from MRI scans

Scientists from South Ural State University, in collaboration with foreign colleagues, have proposed a new model for the classification of MRI images based on a deep-belief network that will help to detect malignant brain tumors faster and more accurately. The research study was published in the Journal of Big Data, indexed in the scientometric Scopus database.

from News on Artificial Intelligence and Machine Learning https://ift.tt/32Pevi9

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