Automatic 3D pulmonary nodule detection in CT images: a survey
This work presents a systematic review of techniques for the 3D automatic detection of
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
A survey on computer-assisted Parkinson's disease diagnosis
Background and objective In this work, we present a systematic review concerning the
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …
Internet of Things: A survey on machine learning-based intrusion detection approaches
In the world scenario, concerns with security and privacy regarding computer networks are
always increasing. Computer security has become a necessity due to the proliferation of …
always increasing. Computer security has become a necessity due to the proliferation of …
[HTML][HTML] FEMa: A finite element machine for fast learning
Abstract Machine learning has played an essential role in the past decades and has been in
lockstep with the main advances in computer technology. Given the massive amount of data …
lockstep with the main advances in computer technology. Given the massive amount of data …
BBA: a binary bat algorithm for feature selection
Feature selection aims to find the most important information from a given set of features. As
this task can be seen as an optimization problem, the combinatorial growth of the possible …
this task can be seen as an optimization problem, the combinatorial growth of the possible …
Deep learning-aided Parkinson's disease diagnosis from handwritten dynamics
CR Pereira, SAT Weber, C Hook… - 2016 29th SIBGRAPI …, 2016 - ieeexplore.ieee.org
Parkinson's Disease (PD) automatic identification in early stages is one of the most
challenging medicine-related tasks to date, since a patient may have a similar behaviour to …
challenging medicine-related tasks to date, since a patient may have a similar behaviour to …
[HTML][HTML] Exudate detection in fundus images using deeply-learnable features
Presence of exudates on a retina is an early sign of diabetic retinopathy, and automatic
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …
A wrapper approach for feature selection based on bat algorithm and optimum-path forest
Besides optimizing classifier predictive performance and addressing the curse of the
dimensionality problem, feature selection techniques support a classification model as …
dimensionality problem, feature selection techniques support a classification model as …
BCS: A binary cuckoo search algorithm for feature selection
D Rodrigues, LAM Pereira, TNS Almeida… - … on circuits and …, 2013 - ieeexplore.ieee.org
Feature selection has been actively pursued in the last years, since to find the most
discriminative set of features can enhance the recognition rates and also to make feature …
discriminative set of features can enhance the recognition rates and also to make feature …
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
Background and objective Parkinson's disease (PD) is considered a degenerative disorder
that affects the motor system, which may cause tremors, micrography, and the freezing of …
that affects the motor system, which may cause tremors, micrography, and the freezing of …