Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images

<p>Abstract</p> <p>Background</p> <p>Computer-aided segmentation and border detection in dermoscopic images is one of the core components of diagnostic procedures and therapeutic interventions for skin cancer. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer variations in human interpretation. In this study, we compare two approaches for automatic border detection in dermoscopy images: density based clustering (DBSCAN) and Fuzzy C-Means (FCM) clustering algorithms. In the first approach, if there exists enough density –greater than certain number of points- around a point, then either a new cluster is formed around the point or an existing cluster grows by including the point and its neighbors. In the second approach FCM clustering is used. This approach has the ability to assign one data point into more than one cluster.</p> <p>Results</p> <p>Each approach is examined on a set of 100 dermoscopy images whose manually drawn borders by a dermatologist are used as the ground truth. Error rates; false positives and false negatives along with true positives and true negatives are quantified by comparing results with manually determined borders from a dermatologist. The assessments obtained from both methods are quantitatively analyzed over three accuracy measures: border error, precision, and recall. </p> <p>Conclusion</p> <p>As well as low border error, high precision and recall, visual outcome showed that the DBSCAN effectively delineated targeted lesion, and has bright future; however, the FCM had poor performance especially in border error metric.</p

Tian-ren-he-yi strategy: An Eastern perspective

Research on the business-environment dilemma has traditionally focused on strategies based on isolated, either/or mindsets, such as economically-oriented and environmentally-oriented strategies. Drawing on the cultural, philosophical, and intellectual traditions of China, we sketch the contours of a new holism-based strategic mindset, which results in a tian-ren-he-yi strategy. As an Eastern perspective, tian-ren-he-yi means “nature and mankind combined as one” or “nature-human harmony.” We leverage both qualitative and quantitative investigations to first identify the underlying mechanisms connecting tian-ren-he-yi strategy and firm performance, and then to compare the performance-enhancing potential of tian-ren-he-yi strategy with the two strategies based on the isolated mindset. Our analysis shows that when managing the business-environment dilemma, tian-ren-he-yi strategy has stronger performance-enhancing potential than either economically-oriented or environmentally-oriented strategies