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Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas in Melanoma In Situ Images.

, , , , , , and . IEEE Trans. Instrum. Meas., 61 (7): 1839-1847 (2012)

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Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas in Melanoma In Situ Images., , , , , , and . IEEE Trans. Instrum. Meas., 61 (7): 1839-1847 (2012)Medical Image Processing in the Age of Deep Learning - Is There Still Room for Conventional Medical Image Processing Techniques?., , and . VISIGRAPP (4: VISAPP), page 306-311. SciTePress, (2017)Adaptable Ring for Vision-Based Measurements and Shape Analysis., , , , , , and . IEEE Trans. Instrum. Meas., 66 (4): 746-756 (2017)Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques., , , , , , , , , and 2 other author(s). VISIGRAPP (4: VISAPP), page 115-123. SciTePress, (2017)Real-world Pill Segmentation based on Superpixel Merge using Region Adjacency Graph., , , and . VISIGRAPP (4: VISAPP), page 182-187. SciTePress, (2017)Nuclei Segmentation using a Level Set Active Contour Method and Spatial Fuzzy C-means Clustering., , , , , , , and . VISIGRAPP (4: VISAPP), page 195-202. SciTePress, (2017)Color Feature-based Pillbox Image Color Recognition., , , , and . VISIGRAPP (4: VISAPP), page 188-194. SciTePress, (2017)