A Dual Coordinate System Vertebra Landmark Detection Network with Sparse-to-Dense Vertebral Line Interpolation
Precise surveillance and assessment of spinal disorders are important for improving health
care and patient survival rates. The assessment of spinal disorders, such as scoliosis …
care and patient survival rates. The assessment of spinal disorders, such as scoliosis …
Geometry-Invariant Abnormality Detection
Cancer is a highly heterogeneous condition best visualised in positron emission
tomography. Due to this heterogeneity, a general-purpose cancer detection model can be …
tomography. Due to this heterogeneity, a general-purpose cancer detection model can be …
A State-of-the-Art Survey of Deep Learning for Lumbar Spine Image Analysis: X-Ray, CT, and MRI
R Zhang - AI Medicine, 2024 - sciltp.com
Lumbar spine diseases not only endanger patients' physical health but also bring about
severe psychological impacts and generate substantial medical costs. Reliable lumbar …
severe psychological impacts and generate substantial medical costs. Reliable lumbar …
Heatmap-Based Active Shape Model for Landmark Detection in Lumbar X-ray Images
M Choi, JS Jang - Journal of Imaging Informatics in Medicine, 2024 - Springer
Medical staff inspect lumbar X-ray images to diagnose lumbar spine diseases, and the
analysis process is currently automated using deep-learning techniques. The detection of …
analysis process is currently automated using deep-learning techniques. The detection of …
Detection of Landmarks in X-Ray Images Through Deep Learning
M Fernandes, V Filipe, A Sousa… - … Conference on Wireless …, 2023 - Springer
This paper presents a study on the automated detection of landmarks in medical x-ray
images using deep learning techniques. In this work we developed two neural networks …
images using deep learning techniques. In this work we developed two neural networks …
Feasibility of Spine Segmentation in ML-Based Recognition of Vertebrae in X-Ray Images
MA Bakaev, DA Kobzev, DK Piletskii… - 2023 IEEE XVI …, 2023 - ieeexplore.ieee.org
Medicine remains one of the data-scarce domains, with typical datasets size not exceeding
hundreds of thousands items. Correspondingly, straightforward application of end-to-end …
hundreds of thousands items. Correspondingly, straightforward application of end-to-end …
Automatic Detection of the Lumbar Spine using Transfer Learning for Quantitative Fluoroscopy
Quantitative assessment of spinal motion plays a pivotal role in diagnosing and
understanding lower back pain. This paper utilises a Convolutional Neural Network for …
understanding lower back pain. This paper utilises a Convolutional Neural Network for …
X 선영상내요추검출성능향상을위한PoseNet 모델의선택적활용
최민호， 장준수 - 전자공학회논문지, 2024 - dbpia.co.kr
최근 인공지능 기술의 발달로 의료 영상 판독을 자동으로 수행하는 알고리즘의 성능이
향상되고 있으며, 환자의 척추 중 요추부를 촬영한 X 선 영상을 분석하기 위한 인공지능 기술에 …
향상되고 있으며, 환자의 척추 중 요추부를 촬영한 X 선 영상을 분석하기 위한 인공지능 기술에 …