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Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach

2021-02-24 20:22:44
Masuda Akter Tonima, F M Anim Hossain, Austin DeHart, Youmin Zhang
arXiv_CV
       
Abstract

Stifle joint issues are a major cause of lameness in dogs and it can be a significant marker for various forms of diseases or injuries. A known Tibial Plateau Angle (TPA) helps in the reduction of the diagnosis time of the cause. With the state of the art object detection algorithm YOLO, and its variants, this paper delves into identifying joints, their centroids and other regions of interest to draw multiple line axes and finally calculating the TPA. The methods investigated predicts successfully the TPA within the normal range for 80 percent of the images.

Abstract (translated)

URL

https://arxiv.org/abs/2102.12544

PDF

https://arxiv.org/pdf/2102.12544.pdf

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