Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions.

(A) Overview of Cell-TRACTR performing cell tracking, where a black arrow connecting two cells signifies a cell division event, as seen in frame t2. (B) In frame t0, the model performs object detection and locates all cells in the frame. In subs...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Owen M. O’Connor (11965460) (author)
مؤلفون آخرون:	Mary J. Dunlop (463579) (author)
منشور في:	2025
الموضوعات:	Biophysics Genetics Cancer Biological Sciences not elsewhere classified Information Systems not elsewhere classified track many objects present unique challenges global contextual dependencies existing architectures developed easily interpretable assessment defined microfluidic geometry convolutional neural networks bacteria growing within div >< p tr </ u r </ u c </ u division accuracy compared tracking cells without assess cell division cells </ p tractr (< u cell tracking based </ u division accuracy tracking cells cell tracking based models based architecture cell segmentation work establishes two dimensions tractr operates simultaneously segmenting results demonstrate new framework medical data fall short ecognition ), deep learning data analysis art algorithms analyzing biological
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Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions.

مواد مشابهة