AIMC Topic: Automation

Clear Filters Showing 951 to 960 of 967 articles

A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm.

CNS & neurological disorders drug targets
AIM: It is beneficial to classify brain images as healthy or pathological automatically, because 3D brain images can generate so much information which is time consuming and tedious for manual analysis. Among various 3D brain imaging techniques, magn...

Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.

Investigative ophthalmology & visual science
PURPOSE: To compare performance of a deep-learning enhanced algorithm for automated detection of diabetic retinopathy (DR), to the previously published performance of that algorithm, the Iowa Detection Program (IDP)-without deep learning components-o...

Automatic classification of cancer cells in multispectral microscopic images of lymph node samples.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Histopathological analysis is crucial for the diagnosis of a large number of cancer types. A lot of progress has been made in the development of molecular based assays, but many of the cases still require the careful analysis of the stained tissue un...

Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.

Medical physics
PURPOSE: In an attempt to overcome several hurdles that exist in organ segmentation approaches, the authors previously described a general automatic anatomy recognition (AAR) methodology for segmenting all major organs in multiple body regions body-w...

Automatic labeling of MR brain images by hierarchical learning of atlas forests.

Medical physics
PURPOSE: Automatic brain image labeling is highly demanded in the field of medical image analysis. Multiatlas-based approaches are widely used due to their simplicity and robustness in applications. Also, random forest technique is recognized as an e...

Automated fluence map optimization based on fuzzy inference systems.

Medical physics
PURPOSE: The planning of an intensity modulated radiation therapy treatment requires the optimization of the fluence intensities. The fluence map optimization (FMO) is many times based on a nonlinear continuous programming problem, being necessary fo...

Automated analysis of food-borne pathogens using a novel microbial cell culture, sensing and classification system.

The Analyst
We hereby report the design and implementation of an Autonomous Microbial Cell Culture and Classification (AMC(3)) system for rapid detection of food pathogens. Traditional food testing methods require multistep procedures and long incubation period,...

Predictive model of synovial membrane degradation using semi-automated morphometry and artificial neural networks.

Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Gonarthrosis is a degenerative disease that affects mainly older people, but whose incidence has increased significantly in the last decade in population under the age of 65. The main objective of this study was developing a predictive model of synov...

Automatic anatomy recognition in whole-body PET/CT images.

Medical physics
PURPOSE: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease conditions, especially cancer. Body-wide accurate quantification of disease burden in PET/CT images is...