| P2093 | author name string | Yan Xu | |
| | Chunhui Liu | |
| | Eric I-Chao Chang | |
| | Xingyu Fan | |
| | Zhongjun Mo | |
| | Zhizhi Guo | |
| P2860 | cites work | Digital planimetry results in more accurate wound measurements: a comparison to standard ruler measurements | Q24603603 |
| | A performance evaluation of local descriptors | Q27461536 |
| | Error rate of automated calculation for wound surface area using a digital photography | Q33455645 |
| | Wound measurement comparing the use of acetate tracings and Visitrak digital planimetry | Q39749382 |
| | BurnCase 3D software validation study: Burn size measurement accuracy and inter-rater reliability. | Q47328438 |
| | Accuracy and precision of selected wound area measurement methods in diabetic foot ulceration. | Q50787329 |
| | Accurate, dense, and robust multiview stereopsis. | Q51688504 |
| | Measuring wound length, width, and area: which technique? | Q51897903 |
| | SLAM-based dense surface reconstruction in monocular Minimally Invasive Surgery and its application to Augmented Reality. | Q52653599 |
| | Prediction of healing for postoperative diabetic foot wounds based on early wound area progression. | Q53459206 |
| | Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator. | Q55208727 |
| | Designing and developing a new measuring instrument | Q69826812 |
| | MAVIS: a non-invasive instrument to measure area and volume of wounds. Measurement of Area and Volume Instrument System | Q77416957 |
| | [Computer-aided legal medical examination of body surface] | Q78847524 |
| | Early healing rates and wound area measurements are reliable predictors of later complete wound closure | Q80530179 |
| | Fifty percent area reduction after 4 weeks of treatment is a reliable indicator for healing--analysis of a single-center cohort of 704 diabetic patients | Q81035385 |
| | Determining surface orientations of specular surfaces by using the photometric stereo method | Q84832157 |
| P433 | issue | 1 | |
| P921 | main subject | smartphone | Q22645 |
| P304 | page(s) | 724 | |
| P577 | publication date | 2019-12-18 | |
| P1433 | published in | BMC Bioinformatics | Q4835939 |
| P1476 | title | Wound area measurement with 3D transformation and smartphone images | |
| P478 | volume | 20 | |