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Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
A survey on Barrett's esophagus analysis using machine learning
(2018-05-01)
This work presents a systematic review concerning recent studies and technologies of machine learning for Barrett's esophagus (BE) diagnosis and treatment. The use of artificial intelligence is a brand new and promising ...
Classificação de sinais eletromiográficos do músculo masseter de bovinos baseada em dicionários para reconhecimento de padrões ingestivos
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Elétrica e Informática IndustrialUTFPR, 2019-10-29)
This work presents a proposal for a new pattern recognition method of surface electromyography signals of cows masseter muscle for classification of ingestion and rumination patterns, as well as the definition of a ...
Biometric iris recognition using radial basis function neural network
The consistent and efficient method for the identification of biometrics is the iris recognition in view of the fact that it has richness in texture information. A good number of features performed in the past are built ...
Recognition Thresholds for Static and Dynamic Emotional Faces
We investigated the minimum expressive intensity that is required to recognize (above chance) static and dynamic facial expressions of happiness, sadness, anger, disgust, fear, and surprise. To this end, we varied the ...
Human action recognition based on spatiotemporal features from videos
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-12-22)
Currently, there is a high demand for the development of new techniques for automatic pattern recognition in videos, for example for the automatic recognition of human actions, this demand is motivated by the advances in ...
An entropy-based approach to automatic image segmentation of satellite images
(ELSEVIER SCIENCE BV, 2011)
An entropy-based image segmentation approach is introduced and applied to color images obtained from Google Earth. Segmentation refers to the process of partitioning a digital image in order to locate different objects and ...