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Evaluation of Elastographic techniques generated by means of external vibration
(Pontificia Universidad Católica del Perú, 2017-12-01)
Breast cancer is one of the greatest problems of national and international public health, whose incidence
among women population shows an increasing trend. Nowadays there are several elastographic
techniques, which seek ...
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 ...
Efficient algorithms for convolutional dictionary learning via accelerated proximal gradient
(Pontificia Universidad Católica del Perú, 2019-04-05)
Convolutional sparse representations and convolutional dictionary learning are mathematical models
that consist in representing a whole signal or image as a sum of convolutions between dictionary filters
and coefficient ...
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 ...
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 ...
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 ...
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 ...
Robust Minimmun Variance Beamformer using Phase Aberration Correction Methods
(Pontificia Universidad Católica del Perú, 2017-04-28)
The minimum variance (MV) beamformer is an adaptive beamforming method that has the potential
to enhance the resolution and contrast of ultrasound images. Although the sensitivity of the MV
beamformer to steering vector ...
A study of new methods and techniques for ultrasonic attenuation estimation
(Pontificia Universidad Católica del Perú, 2017-03-09)
The pathological states of biological tissue are often related in attenuation changes of itself. Thus,
information about attenuating properties of tissue is valuable for the physician and could be useful in
ultrasonic ...
Backscatter coefficient estimation using highly focused ultrasound transducers
(Pontificia Universidad Católica del Perú, 2014-05-26)
The backscatter coefficient (BSC) is an intrinsic property that quantifies the amount of energy
that is reflected by a material as function of the ultrasound wave frequency. BSCs have been
proposed for decades for tissue ...