Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach
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.
Code (1)
Tasks
object-detectionObject DetectionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Learning Generalizable Features for Tibial Plateau Fracture Segmentation Using Masked Autoencoder and Limited Annotations
Accurate automated segmentation of tibial plateau fractures (TPF) from computed tomography (CT) requires large amounts of annotated data to train deep learning models, but obtaining such annotations presents unique chall…
Computed Tomography (CT)KHAIT: K-9 Handler Artificial Intelligence Teaming for Collaborative Sensemaking
In urban search and rescue (USAR) operations, communication between handlers and specially trained canines is crucial but often complicated by challenging environments and the specific behaviors canines are trained to ex…
Edge-computingobject-detectionObject DetectionA Single Detect Focused YOLO Framework for Robust Mitotic Figure Detection
Mitotic figure detection is a crucial task in computational pathology, as mitotic activity serves as a strong prognostic marker for tumor aggressiveness. However, domain variability that arises from differences in scanne…
Computational EfficiencyPredicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach
Gait event detection of the initial contact and toe off is essential for running gait analysis, allowing the derivation of parameters such as stance time. Heuristic-based methods exist to estimate these key gait events f…
BIG-bench Machine LearningEvent DetectionStructured PredictionConfident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection
Canine cardiomegaly, marked by an enlarged heart, poses serious health risks if undetected, requiring accurate diagnostic methods. Current detection models often rely on small, poorly annotated datasets and struggle to g…
Diagnostic