[Development Case] Development of an Object Detection and Tracking System in CT Images

Detecting and tracking specific substances in CT images.

In 2019, we developed a system for detecting and tracking specific substances in medical CT images for Company M. This involved creating an annotation tool, conducting research, implementing models, training and evaluation, and building an inference system. We created a proprietary tool. To meet the client's requirements, we needed special data, but there was no tool available for labeling it. Therefore, we independently developed an annotation tool and generated the data. Detection and tracking of special objects in unclear CT videos. In this case, the CT images in each frame of the video were coarse, making the detection and tracking of specific substances extremely challenging. However, we overcame this through improvements in the neural network architecture, innovations in image preprocessing, and enhancements to the tracking algorithm. *For more details, please refer to the related links or feel free to contact us.*

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