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Regularized spectral log difference technique for ultrasonic attenuation imaging
(Pontificia Universidad Católica del Perú, 2017-07-13)
The attenuation coefficient slope (ACS) has the potential to be used for tissue characterization and as
a diagnostic ultrasound tool, hence complementing B-mode images. The ACS can be valuable for estimation
of other ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Soft tissue characterization using different quantitative ultrasound modalities
(Pontificia Universidad Católica del Perú, 2019-10-24)
Quantitative ultrasound has been used in several modalities for different experiments such as simulated
phantom, physical phantoms, ex vivo and in vivo tissues. The potential of the ultrasound techniques
could be useful ...
Novel Edge-Preserving Filtering Model Based on the Quadratic Envelope of the l0 Gradient Regularization
(Pontificia Universidad Católica del Perú, 2023-01-26)
In image processing, the l0 gradient regularization (l0-grad) is an inverse problem which penalizes the l0 norm of the reconstructed image’s gradient. Current state-of-the art algorithms for solving this problem are based ...