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Analysis of periapical radiographs using ImageJ software on periapical granuloma in endodontic treatment. The assessment of the success rate of endodontic treatment on teeth with periapical granuloma is currently still u...

Periapical abscess radiography analysis using imageJ after endodontics treatment. The visual assessment to measure the lesion of periapical abscesses on the radiograph interpretation has the distinction of periapical in ...

Introduction . Atopic dermatitis is a chronic and recurrent inflammatory skin condition. Significant skin lesions caused by the condition contribute to a negative perception of one’s body. A negative body image may cau...

The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construc...

Tesis de Licenciatura En el presente trabajo de tesis se evaluaron diferentes indicadores cuantitativos así como la distribución espacial del radiotrazador 18F-DOPA en putámenes y caudados en individuos con Enfermedad...

"En este trabajo se estudia la aplicación del método SIFT y su variante: el algoritmo SAR-SIFT desarrollado para aplicarse en imágenes SAR. Se introduce primero el motivo de interés del uso de este tipo de imágenes,...

"El reconocimiento automático de objetos en imágenes representa un desafío dentro del área de procesamiento de imágenes porque posee múltiples aplicaciones de suma importancia. En este trabajo se presenta un análi...

In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit. First, we highlight convolution with...

Despite the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural networks, one central problem remains largely unsolved: how do we recover the finer texture de...

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensi...

Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, for many tasks...

The distance comparison of Cone Beam Computed Tomography (CBCT) image with the real object. Dentist use radiographs to establish diagnosis, treatment plan, prognosis, as well as to evaluate patient’s treatment. Accura...

We propose a technique for producing `visual explanations' for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent. Our approach - Gradient-weighted Class Activat...