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automated medical image analysis

Deep Learning for Automated Medical Image Analysis

Deep Learning for Automated Medical Image Analysis

... In chapter 4, we present a fully automated lung computed tomography (CT) cancer diagnosis system, DeepLung [118]. DeepLung consists of two components, nodule detection (identi- fying the locations of candidate ...

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Prehospital digital photography and automated image transmission in an emergency medical service – an ancillary retrospective analysis of a prospective controlled trial

Prehospital digital photography and automated image transmission in an emergency medical service – an ancillary retrospective analysis of a prospective controlled trial

... (e.g., medical documents) were converted into a digital format and ...necessary medical decisions within the shortest possible time period is crucial for emergency ...of medical docu- ments will be ...

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Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

... The automated segmentation of regions of interest (ROIs) in medical imaging is the fundamental requirement for the derivation of high-level semantics for image analysis in clinical decision ...

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Automated Image Annotation for Semantic Indexing and Retrieval of Medical Images

Automated Image Annotation for Semantic Indexing and Retrieval of Medical Images

... semantic analysis (LSA) and probabilistic latent semantic analysis (PLSA) are applied to automatic image annotation ...automatic image annotation treat each annotated word as an independent ...

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Retinal Image Analysis for Evaluating Image Suitability for Medical Diagnosis

Retinal Image Analysis for Evaluating Image Suitability for Medical Diagnosis

... of automated evaluation of digital retinal images has the potential to reduce the workload and thus increase the cost-effectiveness of such screening also some manufactures offer automated clinical decision ...

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Digital image analysis based automated kiwifruit counting technique

Digital image analysis based automated kiwifruit counting technique

... Image analysis based automated counting approaches can be found in many fields, such as medical imaging, horticulture & crop industry and soil research [1], [2] and ...of automated ...

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Spiral Bacterial Cell Image Analysis using Active Contour Method

Spiral Bacterial Cell Image Analysis using Active Contour Method

... microscopic image analysis provides an efficient tool for qualitative analysis in modern bio-medical and biological ...Microscopic image analysis is one of the most important ...

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RETINAL IMAGE ANALYSIS FOR EVALUATING IMAGE SUITABILITY FOR MEDICAL DIAGNOSIS

RETINAL IMAGE ANALYSIS FOR EVALUATING IMAGE SUITABILITY FOR MEDICAL DIAGNOSIS

... of automated evaluation of digital retinal images has the potential to reduce the workload and thus increase the cost-effectiveness of such screening also some manufactures offer automated clinical decision ...

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Automated 3D breast ultrasound image analysis

Automated 3D breast ultrasound image analysis

... The automated 3D breast ultrasound system (ABUS) is a novel 3D breast ultrasound imaging ...Somo-V automated 3D breast ultrasound system developed by U-systems (Sunnyvale, CA, USA) and the ACUSON S2000 ABUS ...

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Medical Image Analysis

Medical Image Analysis

... where image analysis is performed is astronomical image ...the automated identification of the astrophysical sources and their relevant measurements depending on the image ...Several ...

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SParticle, an algorithm for the analysis of filamentous microorganisms in submerged cultures

SParticle, an algorithm for the analysis of filamentous microorganisms in submerged cultures

... To assess if we could distinguish between samples with a distinct pellet size distribution, cultures were inoculated at different spore densities. This was based on the observation that the inoculum density correlates to ...

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Application of Statical Image Fusion in Medic...

Application of Statical Image Fusion in Medic...

... Image fusion is the process of image superposition using two different image types: anatomic (MRI) and functional (CT]). This process provides the functional (CT) information in an anatomic context ...

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Validation in medical image processing.

Validation in medical image processing.

... in medical image processing, but due to intra-expert and inter-expert variability, it is often desirable to find an automatic ...in Medical Image Analysis”, Crum et ...

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Medical image analysis via Fréchet means of diffeomorphisms  Medical image analysis via Fréchet means of diffeomorphisms

Medical image analysis via Fréchet means of diffeomorphisms Medical image analysis via Fréchet means of diffeomorphisms

... component analysis to mani- folds representing anatomical shape ...anatomical image, using large-deformation diffeomorphic transformations, from a collection of images representing a ...resulting ...

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Long-term analysis to objectify the tumour grading by means of automated microscopic image analysis of the nucleolar organizer regions (AgNORs) in the case of breast carcinoma

Long-term analysis to objectify the tumour grading by means of automated microscopic image analysis of the nucleolar organizer regions (AgNORs) in the case of breast carcinoma

... AgNOR analysis represents an additional tool for identifying, in the case of a limit-value HER2 status, further patients that can be considered for a trastuzumab therapy ...morphometric analysis of AgNORs ...

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Medical Image Analysis on Software and Hardware System

Medical Image Analysis on Software and Hardware System

... the medical field to many other fields like engineering, applied mathematics, physics and so on ...the medical diagnosis is the medical imaging and its ...stage, image processing comes into ...

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Analysis on Image Fusion Techniques for Medical Applications

Analysis on Image Fusion Techniques for Medical Applications

... for medical image fusion based on framelet transform has been proposed by considering the characteristics of human visual system (HVS) ...for image fusion have been proposed so far in the literature ...

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Automated Detection of Diabetic Retinopathy Using Fundus Image Analysis

Automated Detection of Diabetic Retinopathy Using Fundus Image Analysis

... Morphological image processing exploits features of the vasculature shape that are known a priori, such as it being piecewise linear and ...an image,by preserving image structures that can contain ...

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Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images

Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images

... X-ray computed tomography (CT) images are typically affected by partial volume effects which cause the transi- tions from bone to air or bone to fat to be less noticeable [8]. Such faded transitions result in similar ...

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Automated image analysis in the study of lymphocyte subpopulation in eosinophilic oesophagitis

Automated image analysis in the study of lymphocyte subpopulation in eosinophilic oesophagitis

... Background: Eosinophilic oesophagitis (EoE) is characterized by the presence of eosinophils in oesophageal mucosa. Other inflammatory cells, mainly lymphocytes, dendritic cells, and mast cells may also play an important ...

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