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A review on segmentation of knee articular cartilage: from conventional methods towards deep learning.

, , , , , and . Artif. Intell. Medicine, (2020)

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A review on segmentation of knee articular cartilage: from conventional methods towards deep learning., , , , , and . Artif. Intell. Medicine, (2020)Automated segmentation of knee articular cartilage: Joint deep and hand-crafted learning-based framework using diffeomorphic mapping., , , , and . Neurocomputing, (2022)Challenges and opportunities of mobile data collection in clinical studies., , , , and . MoMM, page 129-137. ACM, (2020)Empirical study of user experience on mobile data collection for chronic low back pain., , , , and . ACIS, page 31. (2017)Voxel Classification Based Automatic Hip Cartilage Segmentation from Routine Clinical MR Images., , , and . ICONIP (4), volume 1332 of Communications in Computer and Information Science, page 606-614. Springer, (2020)On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach., , , , and . IEEE Access, (2021)Multi-Atlas based Hip Bone Segmentation from Routine Clinical Hip MRIs of Osteoarthritis Patients., , , and . ICARCV, page 660-665. IEEE, (2020)Out-of-Hospital Body Movement Data Collection Using E-Skin Sensors., , , , , and . PerCom Workshops, page 346-348. IEEE, (2019)Smartphone-Based Ecological Momentary Assessment for Collecting Pain and Function Data for Those with Low Back Pain., , , and . Sensors, 22 (18): 7095 (2022)Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements., , , , , , and . Sensors, 20 (5): 1510 (2020)