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Deep Vision: Near-infrared imaging and machine learning can identify hidden tumors

 E-Mail IMAGE: The machine learning technique developed by Dr. Takemura and team could distinguish tumor tissue from healthy tissue in ex vivo images of resected tumors, with 86% accuracy. view more  Credit: Hiroshi Takemura from Tokyo University of Science Tumors can be damaging to surrounding blood vessels and tissues even if they re benign. If they re malignant, they re aggressive and sneaky, and often irrevocably damaging. In the latter case, early detection is key to treatment and recovery. But such detection can sometimes require advanced imaging technology, beyond what is available commercially today. For instance, some tumors occur deep inside organs and tissues, covered by a mucosal layer, which makes it difficult for scientists to directly observe them with standard methods like endoscopy (which inserts a small camera into a patient s body via a thin tube) or reach them during biopsies. In particular, gastrointestinal stromal tumors (GISTs) typically found in

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