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Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images
(Public Library of Science, 2019)
Tuberculosis is an infectious disease that causes ill health and death in millions of people each year worldwide. Timely diagnosis and treatment is key to full patient recovery. The Microscopic Observed Drug Susceptibility ...
Impact of different evaluation methods for diagnostic tasks in panoramic radiography
(Facultad de Odontología. Universidad de Costa Rica, 2022)
Detection of diabetic retinopathy based on a convolutional neural network using retinal fundus images
(Springer Verlag, 2017)
Diabetic retinopathy is one of the leading causes of blindness. Its damage is associated with the deterioration of blood vessels in retina. Progression of visual impairment may be cushioned or prevented if detected early, ...
Mathematical algorithm for the automatic recognition of intestinal parasites
(Public Library of Science, 2017)
Parasitic infections are generally diagnosed by professionals trained to recognize the morphological characteristics of the eggs in microscopic images of fecal smears. However, this laboratory diagnosis requires medical ...
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery
(Public Library of Science, 2019)
Interest in larval source management (LSM) as an adjunct intervention to control and eliminate malaria transmission has recently increased mainly because long-lasting insecticidal nets (LLINs) and indoor residual spray ...
Evaluación de herramientas de libre distribución para neurocirugía guiada por imágenesEvaluation of free distrubution tools for image guide surgery
(Politécnico Colombiano Jaime Isaza CadavidGrupo de Investigación en Bioinstrumentación e Ingeniería Clínica (GIBIC)Medellín, Colombia, 2022)
Representación de imágenes de histopatología utilizada en tareas de análisis automático: estado del arte
(Universidad Militar Nueva Granada, 2014)
Representación de imágenes de histopatología utilizada en tareas de análisis automático: estado del arte
(Universidad Militar Nueva Granada, 2014)
Comparison of Multiple Stereoscopic and Monoscopic Digital Image Formats to Film for Diabetic Macular Edema Evaluation
(Association for Research in Vision and OphthalmologyInformedSan Luis, Estados Unidos, 2022)