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Morphology-Aware Interactive Keypoint Estimation
May 7, 2024, 4:48 a.m. | Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim
cs.CV updates on arXiv.org arxiv.org
Abstract: Diagnosis based on medical images, such as X-ray images, often involves manual annotation of anatomical keypoints. However, this process involves significant human efforts and can thus be a bottleneck in the diagnostic process. To fully automate this procedure, deep-learning-based methods have been widely proposed and have achieved high performance in detecting keypoints in medical images. However, these methods still have clinical limitations: accuracy cannot be guaranteed for all cases, and it is necessary for doctors …
abstract annotation arxiv automate cs.ai cs.cv diagnosis diagnostic however human images interactive medical performance process ray type x-ray
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