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Exposing Hidden Tumors With Near-Infrared Imaging and Machine Learning Methods


 
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. Credit: Hiroshi Takemura from Tokyo University of Science
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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 the st ....

Hiroaki Ikematsu , Daiki Sato , Toshihiro Takamatsu , Kazuhiro Kaneko , Kohei Soga , Hideo Yokota , Hiroshi Takemura , Takeshi Kuwata , National Cancer Center Hospital , Tokyo University Of Science , National Cancer Center Hospital East , Advanced Photonics , Tokyo University , தைய்கி ஸாடோ , தேசிய புற்றுநோய் மையம் மருத்துவமனை , டோக்கியோ பல்கலைக்கழகம் ஆஃப் அறிவியல் , தேசிய புற்றுநோய் மையம் மருத்துவமனை கிழக்கு , டோக்கியோ பல்கலைக்கழகம் ,