Detection and classification of masses in mammographic images in a multi-kernel approach
SML de Lima, AG da Silva-Filho… - Computer methods and …, 2016 - Elsevier
Abstract Background and Objective According to the World Health Organization, breast
cancer is the main cause of cancer death among adult women in the world. Although breast …
cancer is the main cause of cancer death among adult women in the world. Although breast …
Layer multiplexing FPGA implementation for deep back-propagation learning
F Ortega-Zamorano, JM Jerez… - Integrated Computer …, 2017 - content.iospress.com
Training of large scale neural networks, like those used nowadays in Deep Learning
schemes, requires long computational times or the use of high performance computation …
schemes, requires long computational times or the use of high performance computation …
Bayesian modeling of external corrosion in underground pipelines based on the integration of Markov chain Monte Carlo techniques and clustered inspection data
In this study, a model is developed to assess external corrosion in buried pipelines based on
the unification of Bayesian inferential structure derived from Markov chain Monte Carlo …
the unification of Bayesian inferential structure derived from Markov chain Monte Carlo …
Automatic detection of microcalcifications using mathematical morphology and a support vector machine
In this paper, we propose a novel method for the detection of microcalcifications using
mathematical morphology and a support vector machine (SVM). First, the contrast in the …
mathematical morphology and a support vector machine (SVM). First, the contrast in the …
Skin lesion segmentation using image bit-plane multilayer approach
M Rizzi, C Guaragnella - Applied Sciences, 2020 - mdpi.com
The establishment of automatic diagnostic systems able to detect and classify skin lesions at
the initial stage are getting really relevant and effective in providing support for medical …
the initial stage are getting really relevant and effective in providing support for medical …
Evolutionary feature weighting to improve the performance of multi-label lazy algorithms
In the last decade several modern applications where the examples belong to more than
one label at a time have attracted the attention of research into machine learning. Several …
one label at a time have attracted the attention of research into machine learning. Several …
A decision support system for melanoma diagnosis from dermoscopic images
M Rizzi, C Guaragnella - Applied Sciences, 2022 - mdpi.com
Innovative technologies in dermatology allow for the early screening of skin cancer, which
results in a reduction in the mortality rate and surgical treatments. The diagnosis of …
results in a reduction in the mortality rate and surgical treatments. The diagnosis of …
Using metaheuristics to optimize the combination of classifier and cluster ensembles
We investigate how to make a simpler version of an existing algorithm, named C^ 3E, from
Consensus between Classification and Clustering Ensembles, more user-friendly by …
Consensus between Classification and Clustering Ensembles, more user-friendly by …
Detection and classification of breast cancer in mammographic images using efficient image segmentation technique
PB Chanda, SK Sarkar - Advances in Control, Signal Processing and …, 2020 - Springer
Breast cancer has become one of the major types of cancer-caused deaths among women
of different countries throughout the world. One of the major problems of this type of cancer …
of different countries throughout the world. One of the major problems of this type of cancer …
Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors
Shoeprint evidence collected from crime scenes can play an important role in forensic
investigations. Usually, the analysis of shoeprints is carried out manually and is based on …
investigations. Usually, the analysis of shoeprints is carried out manually and is based on …