Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images

Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images

Deep learning technology is now used for medical imaging. YOLOv2 is an object detection model using deep learning. Here, we applied YOLOv2 to FDG-PET images to detect the physiological uptake on the images. We also investigated the detection precision of abnormal uptake by a combined technique with...

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Bibliographic Details
Main Authors: Masashi Kawakami, Kenji Hirata, Sho Furuya, Kentaro Kobayashi, Hiroyuki Sugimori, Keiichi Magota, Chietsugu Katoh
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Medicine
Subjects:
object detection
deep learning
positron emission tomography
YOLOv2
computer vision
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2020.616746/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2020.616746/full

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