Titlebook: Computer Information Systems and Industrial Management; 17th International C Khalid Saeed,Władysław Homenda Conference proceedings 2018 Spr

Exclude

Deep Neural Network for Whole Slide Vein Segmentationosis if used properly. High reliability of potential solutions is required to support specialists. In this work we introduce a novel solution to perform pixelwise segmentation of vein preparations dyed with movat stain. Our proposed deep convolutional neural network achieves the accuracy of ..

是突袭

On Modeling Objects Using Sequence of Moment Invariantsnts features are introduced. Numerical experiments are performed to test the invariance for coloured images and chemical compounds. A comparisons with the other methods are made. The obtained results suggest it is worth to explore the proposed method.

Vertebra

Multi-muscle Texture Analysis for Dystrophy Development Identification in Golden Retriever Muscular ystrophy (GRMD) dogs. Textural features, statistical and model-based, are derived from T2-weighted Magnetic Resonance Images (MRI) of canine hindlimb muscles. Features obtained from different types of muscles (EDL, GasLat, GasMed, and TC) are analyzed simultaneously. Four phases of dystrophy progres

自负的人

Tissue Recognition on Microscopic Images of Histological Sections Using Sequences of Zernike Momentscriptors composed of vectors of accumulated Zernike moments. The goal is to construct a robust and precise method of image recognition and classification that can be applied in the case of histological tissue samples. Thanks to their properties Zernike moments fit these requirements. Additionally, p

Genome

内行

Pattern Recognition Framework for Histological Slide Segmentationit seems that there is a lack of comparison on the microscopic level. In this paper we present a segmentation framework for histological image segmentation that uses a clustering approach. The described framework can be used for further comparison of the venous system at the microscopic level. For t

压舱物

Information System of Arterial Oscillography for Primary Diagnostics of Cardiovascular Diseasesgrams has great inertia and low sensitivity..The authors have suggested morphological, temporal, spectral methods of analysis of arterial oscillograms. These methods were used to study the adaptive capacity of cardiovascular system to compression of blood vessels in arm during rest and application o

灯丝

负担

Automated Immunohistochemical Stains Analysis for Computer-Aided Diagnosis of Parathyroid Diseasediagnosis and prognosis of the parathyroid disorders. The use of IHC as a diagnostic tool brings a substantial methodological problem related to evaluation of stain intensity in micrographs. This paper introduces an image processing approach for automatic IHC stain analysis in micrographs of parathy

摘要记录