Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears? - Kim, Hyojune; Shin, Keewon; Kim, Hoyeon; Lee, Eui-sup; Chung, Seok Won; Koh, Kyoung Hwan; Kim, Namkug (PloS one, 2022)
Keywords: Analysis; Artificial neural networks; Automation; Biology and Life Sciences; Cartilage; Computer and Information Sciences; Datasets; Deep learning; Health aspects; Image processing; Image reconstruction; Image segmentation; Injuries; Labeling; Labels; Machine learning; Machine vision; Magnetic resonance imaging; Medicine and Health Sciences; Methods; Muscles; Neural networks; Orthopedics; Patient outcomes; Patients; People and Places; Reproducibility; Research and Analysis Methods; Rotator cuff; Rotator cuff repair; Shoulder; Surgeons; Tendons; Three dimensional models; Visualization; South Korea