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Characterization of healthy skin with high-frequency ultrasound using quantitative ultrasound
(Pontificia Universidad Católica del Perú, 2018-08-20)
The skin is the largest organ of the body that protects it from the external environment. High- frequency ultra sound (HF-US) has been used to visualize the skin in depth and to diagnose some pathologies in dermatological ...
Corn crops identification using multispectral images from unmanned aircraft systems
(Pontificia Universidad Católica del Perú, 2019-04-08)
Climate change and migration of population from rural to urban areas are affecting the agricultural production around the world. This study was based in the particular department of Ancash - Peru where corn is one of the ...
Deep Learning for Semantic Segmentation versus Classification in Computational Pathology: Application to mitosis analysis in Breast Cancer grading
(Pontificia Universidad Católica del Perú, 2019-04-12)
Existing computational pathology approaches did not allow, yet, the emergence of effective/efficient computer-aided tools used as a second opinion for pathologists in the daily practice. Focusing on the case of computer-based ...
Separable dictionary learning for convolutional sparse coding via split updates
(Pontificia Universidad Católica del Perú, 2019-05-16)
The increasing ubiquity of Convolutional Sparse Representation techniques for several image processing
tasks (such as object recognition and classification, as well as image denoising) has recently
sparked interest in ...
Desarrollo y comparación de diversos mapas de probabilidades en 3D del cáncer de próstata a partir de imágenes de histología
(Pontificia Universidad Católica del Perú, 2013-12-04)
Understanding the spatial distribution of prostate cancer and how it changes according
to prostate specific antigen (PSA) values, Gleason score, and other clinical parameters may
help comprehend the disease and increase ...
Automatic regularization parameter selection for the total variation mixed noise image restoration framework
(Pontificia Universidad Católica del Perú, 2013-03-27)
Image restoration consists in recovering a high quality image estimate based only on
observations. This is considered an ill-posed inverse problem, which implies non-unique
unstable solutions. Regularization methods allow ...
3D updating of solid models based on local geometrical meshes applied to the reconstruction of ancient monumental structures
(Pontificia Universidad Católica del Perú, 2014-10-14)
We introduce a novel methodology for locally updating an existing 3D solid model of a complex monumental structure with the geometric information provided by a 3D mesh (point cloud) extracted from the digital survey of a ...
Multi-scale image inpainting with label selection based on local statistics
(Pontificia Universidad Católica del Perú, 2014-09-09)
We proposed a novel inpainting method where we use a multi-scale approach to speed
up the well-known Markov Random Field (MRF) based inpainting method. MRF based
inpainting methods are slow when compared with other ...
Object detection in videos using principal component pursuit and convolutional neural networks
(Pontificia Universidad Católica del Perú, 2018-05-03)
Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical
flow, particle filtering ...
Formación de imágenes para detección de cáncer de mama empleando tecnología microondas
(Pontificia Universidad Católica del Perú, 2019-02-21)
El presente trabajo consiste en la formación de imágenes que permitan detectar tempranamente los
tumores mamarios. Para ello, se hará uso de un sistema de recolección de datos físico, haciendo uso
de la tecnología ...