In clinical applications, neural networks must focus on and highlight the most important parts of an input image. Soft-Attention mechanism enables a network to achieve this goal. This paper investigates effectiveness in deep architectures. The central aim is boost value features suppress noise-inducing features. We compare performance VGG, ResNet, Inception ResNet v2 DenseNet architectures with...

Segmentation of skin lesions from dermoscopic images plays an essential role in the early detection cancer. However, lesion segmentation is still challenging due to artifacts such as indistinguishability between and normal skin, hair on reflections obtained dermoscopy images. In this study, edge attention network (ET-Net) combining guidance module (EGM) weighted aggregation added 2D volumetric ...

Abstract We present and analyze the dataset on international distribution of industrial robots by country, industry, application provided International Federation Robotics (IFR) since 1993. After describing IFR we point out specificities limitations its dataset. explain process data collection, develop a correspondence table between industry classification ISIC rev. 4 classification, clarify ap...

Melanoma skin cancer is one of the most dangerous forms because it grows fast and causes deaths. Hence, early detection a very important task to treat melanoma. In this article, we propose lesion segmentation method for dermoscopic images based on U-Net architecture with VGG-16 encoder semantic segmentation. Base segmented lesion, diagnostic imaging systems can evaluate features classify them. ...

The article proposes a neural network classification system for pigmented skin neoplasms with preliminary processing stage to remove hair from the images. main difference of proposed is use image identify location and their further removal. This allows you prepare dermatoscopic images analysis in order carry out automated diagnosis lesions. Modeling was carried using MatLAB R2020b software pack...

Introduction. This paper is about the challenges of working creatively and reflectively in the information-intensive environments characteristic of our digital age. Method. The paper builds upon earlier work about uncertainty in library and information science by incorporating work exploring risk cultures and uncertainty as everyday phenomena. It presents arguments emerging from an ongoing inve...

B. Mansart,1 M. J. G. Cottet,1 G. F. Mancini,1 T. Jarlborg,2 S. B. Dugdale,3 S. L. Johnson,4,5 S. O. Mariager,4 C. J. Milne,6 P. Beaud,4 S. Grübel,4 J. A. Johnson,4 T. Kubacka,5 G. Ingold,4 K. Prsa,7 H. M. Rønnow,7 K. Conder,8 E. Pomjakushina,8 M. Chergui,6 and F. Carbone1 1Laboratory for Ultrafast Microscopy and Electron Scattering, ICMP, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausa...