Analysis of Globule Types in Malignant Melanoma

Objective: To identify and analyze subtypes of globules based on size, shape, network connectedness, pigmentation, and distribution to determine which globule types and globule distributions are most frequently associated with a diagnosis of malignant melanoma. Design: Retrospective case series of dermoscopy images with globules. Setting: Private dermatology practices. Participants: Patients in dermatology practices. Intervention: Observation only. Main Outcome Measure: Association of globule types with malignant melanoma. Results: The presence of large globules (odds ratio [OR], 5.25) and globules varying in size (4.72) or shape (5.37) had the highest ORs for malignant melanoma among all globule types and combinations studied. Classical globules (dark, discrete, convex, and 0.10-0.20 mm) had a higher risk (OR, 4.20) than irregularly shaped globules (dark, discrete, and not generally convex) (2.89). Globules connected to other structures were not significant in the diagnosis of malignant melanoma. Of the different configurations studied, asymmetric clusters have the highest risk (OR, 3.02). Conclusions: The presence of globules of varying size or shape seems to be more associated with a diagnosis of malignant melanoma than any other globule type or distribution in this study. Large globules are of particular importance in the diagnosis of malignant melanoma

CMS physics technical design report : Addendum on high density QCD with heavy ions

Peer reviewe

Historical Reflections on the Work of Commission 4

International audienceCommission 4 was among the first set of commissions formed within the IAU at its founding in 1919. (Commissions were originally called ``Standing Committees.'') During its 96 years of service to the IAU and astronomical community in general, the commission has been fortunate to have been led by many distinguished scientists - see the list of presidents below

HISTORICAL REFLECTIONS ON THE WORK OF COMMISSION 4

International audienceCommission 4 was among the first set of commissions formed within the IAU at its founding in 1919. (Commissions were originally called ``Standing Committees.'') During its 96 years of service to the IAU and astronomical community in general, the commission has been fortunate to have been led by many distinguished scientists - see the list of presidents below

Evaluating the performance and energy efficiency of the COSMO-ART model system

In this paper we investigate the energy footprint and performance profiling of COSMO-ART on various HPC platforms. This model is an extension of the operational weather forecast model of the German weather service (DWD), developed for the evaluation of the interactions of reactive gases and aerosol particles with the state of atmosphere at the regional scale. Different measurement devices and energy-aware techniques are described to evaluate both time and energy to solution of the considered application and to gain detailed insights into power and performance requirements. Our motivation is to improve corresponding code sections to sustain performance while minimizing energy-to-solution. This preliminary work sets the basis for subsequent studies to tackle challenges related to energy efficient high performance computing in the framework of the Exa2Green project (EU FET Project, http://​exa2green.​eu/​)

Detection of Granularity in Dermoscopy Images of Malignant Melanoma using Color and Texture Features

Granularity, also called peppering and multiple blue-grey dots, is defined as an accumulation of tiny, blue-grey granules in dermoscopy images. Granularity is most closely associated with a diagnosis of malignant melanoma. This study analyzes areas of granularity with color and texture measures to discriminate granularity in melanoma from similar areas in non-melanoma skin lesions. The granular areas in dermoscopy images of 74 melanomas and 14 melanomas in situ were identified and manually selected. For 200 non-melanoma dermoscopy images, those areas which most closely resembled granularity in color and texture were similarly selected. Ten texture and twenty-two color measures were studied. The texture measures consisted of the average and range of energy, inertia, correlation, inverse difference, and entropy. The color measures consisted of absolute and relative RGB averages, absolute and relative RGB chromaticity averages, absolute and relative G/B averages, CIE X, Y, Z, X/Y, X/Z and Y/Z averages, R variance, and luminance. These measures were calculated for each granular area of the melanomas and the comparable areas in the non-melanoma images. Receiver operating characteristic (ROC) curve analysis showed that the best separation of melanoma images from non-melanoma images by granular area features was obtained with a combination of color and texture measures. Comparison of ROC results showed greater separation of melanoma from benign lesions using relative color than using absolute color. Statistical analysis showed that the four most significant measures of granularity in melanoma are two color measures and two texture measures averaged over the spots: relative blue, relative green, texture correlation, and texture energy range. The best feature set, utilizing texture and relative color measures, achieved an accuracy of 96.4% based on area under the receiver operating characteristic curve