5 citations · 5 across the 2 of their papers we have counts for
3 papers
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach
Jikai Zhang, Carlos Santos, Christine Park +2
Large numbers of radiographic images are available in knee radiology practices which could be used for training of deep learning models for diagnosis of knee abnormalities. However…
Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance
Hanxue Gu, Keyu Li, Roy J. Colglazier +10
The assessment of knee osteoarthritis (KOA) severity on knee X-rays is a central criteria for the use of total knee arthroplasty. However, this assessment suffers from imprecise st…
Malignancy Prediction and Lesion Identification from Clinical Dermatological Images
Meng Xia, Meenal K. Kheterpal, Samantha C. Wong +4
We consider machine-learning-based malignancy prediction and lesion identification from clinical dermatological images, which can be indistinctly acquired via smartphone or dermosc…