title: Ð¡Ð¸ÑÑÐµÐ¼Ð° ÑÐ»ÐµÐ¶ÐµÐ½Ð¸Ñ Ð·Ð° Ð±Ð¸Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ð¼Ð¸ ÐºÐ»ÐµÑÐºÐ°Ð¼Ð¸ Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Real-time system for biological cell tracking
Creators: name: Ð¨Ð¸ Ð®Ð¹ÑÐ°Ð½Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐ·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
ÐÐ±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ ÑÑÐµÐµÐº
Ð² ÑÐµÐ¶Ð¸Ð¼Ðµ ÑÐµÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð¸
Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°Ð½Ð¸Ðµ ÑÑÐµÐµÐº
ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ ÑÑÐµÐµÐº
cell segmentation
real-time
cell tracking
classic cell segmentation algorithm

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description: The subject of the graduate qualification work is âreal-time system for biological cell trackingâ. The given work addresses the proposed an improved U-net and combinethe bounding box regression to achieve cell tracking task. Medical image processing technology is used to analyze and process images, realize the position detection, segmentation and extraction of soft tissue and diseased body, and achieve relatively good results. By segmenting and track- ing medical cell images, some medical problems can be effectively solved. Therefore, we propose an improved neural network model based on the traditional U-net structure, combined with bounding box regression, to achieve realtime cell tracking. The experimental results show that, compared with the traditional cell segmentation algorithm, the algorithm proposed in this paper has higher accuracy and lower loss. The accuracy of the model proposed in this paper can reach 98.46%, and the loss can be as low as 2.8%.The results of this thesis can help to test smallscale cellular models. Provide a method basis for intel- ligent medical diagnosis system based on deep learning.