Skin cancer is one of the major types of cancers and its incidence has been increasing over the past decades. Skin lesions can arise from various dermatologic disorders and can be classified to various types according to their texture, structure, color and other morphological features. The accuracy of diagnosis of skin lesions, specifically the discrimination of benign and malignant lesions, is...

The purpose of this chapter is to address the extent to which quality management is “culture-specific.” The chapter presents the results of a survey administered across 21 countries that seeks to examine quality priorities and practices by adopting the Global Leadership and Organizational Behaviour Effectiveness (GLOBE) framework (House et al., 2004). Drawing on previous research (Vecchi & Bren...

Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy images significantly increases the survival rate. However, the accurate recognition of melanoma is extremely challenging due to the following reasons: low contrast between lesions and skin, visual similarity between melanoma and non-melanoma lesions, etc. Hence, reliable automatic detection of skin tumors is v...

T h e work reported in this paper i s aimed a t designing a horizontal velocity controller f o r the unmanned helicopter A P I D MK-111 by Scandicraft AB in Sweden. T h e controller is able of regulating high horizontal velocities via stabilizat ion of the attitude angles within m u c h larger ranges than currently available. W e use a novel approach t o the design consisting of two steps: firs...

The contribution of the manufacturing sector to Indonesia’s GDP reaches more than 20 percent. However, Indonesia has challenges increase productivity workers who work in industrial sector. Omnibus law requires assistance foreign so that technology and expertise transfer happen. Foreign are believed have a spillover effect form skills through Direct Investment (FDI). FDI allows an labor as resul...

Abstract Prior skin image datasets have not addressed patient-level information obtained from multiple lesions the same patient. Though artificial intelligence classification algorithms achieved expert-level performance in controlled studies examining single images, practice dermatologists base their judgment holistically on The 2020 SIIM-ISIC Melanoma Classification challenge dataset described...

Melanoma, a malignant form of skin cancer is very threatening to life. Diagnosis of melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and malignant forms of skin cancer can be detected by analyzing the lesions present on the surface of the skin using dermoscopic images. In this work, an automated skin lesion detection system has been developed which learns th...

Skin cancer is the most common of all cancers and each year million cases of skin cancer are treated. Treating and curing skin cancer is easy, if it is diagnosed and treated at an early stage. In this work we propose an automatic technique for skin lesion segmentation in dermoscopic images which helps in classifying the skin cancer types. The proposed method comprises of two major phases (1) pr...

This abstract briefly describes a segmentation algorithm developed for the ISIC [1] 2017 Skin Lesion Detection Competition hosted at [2]. The objective of the competition is to perform a segmentation (in the form of a binary mask image) of skin lesions in dermoscopic images as close as possible to a segmentation performed by trained clinicians, which is taken as ground truth. This project only ...