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Segmentation and automated measurement of chronic wound images: probability map approach.

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903507. SPIE, (2014)

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Object recognition using depth information of a consumer depth camera., , , and . ICCAIS, page 203-208. IEEE, (2015)Interpolation of low resolution Digital Elevation Models: A comparison., , , and . CEEC, page 71-76. IEEE, (2016)Evaluation of Further Reduced Resolution Depth Coding for stereoscopic 3D video., , , , and . ICSIPA, page 361-366. IEEE, (2015)Depth image object recognition using moment invariants., , , and . ICCE-TW, page 1-2. IEEE, (2016)Tumor Region Localization in H&E Breast Carcinoma Images Using Deep Convolutional Neural Network., , , , and . IPAS, page 61-66. IEEE, (2018)Segmentation of CT Brain Images Using K-Means and EM Clustering., , and . CGIV, page 339-344. IEEE Computer Society, (2008)Segmentation and automated measurement of chronic wound images: probability map approach., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903507. SPIE, (2014)Tumor detection and whole slide classification of H&E lymph node images using convolutional neural network., , and . ICSIPA, page 90-95. IEEE, (2017)Automatic identification of drinking activities at home using depth data from RGB-D camera., , and . ICCAIS, page 153-158. IEEE, (2014)Query by Fax for Content-Based Image Retrieval., and . CIVR, volume 2383 of Lecture Notes in Computer Science, page 91-99. Springer, (2002)