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Article
Open AccessImproved artificial intelligence discrimination of minor histological populations by supplementing with color-adjusted images
Despite the dedicated research of artificial intelligence (AI) for pathological images, the construction of AI applicable to histopathological tissue subtypes, is limited by insufficient dataset collection owi...
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Article
Signals, sensors and methods for controlling active upper limb orthotic devices: a comprehensive review
Active orthotic devices are potential assets to improve the effectivity of rehabilitation practices for motor disabilities. However, the development of these devices still presents some challenges, namely the ...
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Chapter
Construction of Multi-Resolution Model of Pancreas Tumor
In this section, a method for constructing a multi-resolution model of pancreas tumor is described. The model is constructed from MR images of a KPC mouse that has a pancreatic tumor and a set of microscopic p...
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Article
Open AccessRobust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation
Histopathological imaging is widely used for the analysis and diagnosis of multiple diseases. Several methods have been proposed for the 3D reconstruction of pathological images, captured from thin sections of...
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Chapter and Conference Paper
Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains
When applied to 3D image reconstruction, conventional landmark-based registration methods tend to generate unnatural vertical structures due to inconsistencies between the employed model and the real tissue. T...
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Chapter and Conference Paper
Testing Predictive Properties of Efficient Coding Models with Synthetic Signals Modulated in Frequency
Testing the accuracy of theoretical models requires a priori knowledge of the structural and functional levels of biological systems organization. This task involves a computational complexity, where a certain le...
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Chapter and Conference Paper
A Novel Approach for Sound Approaching Detection
The detection of approaching vehicles is a very important topic on the development of complementary traffic safety systems. However, the majority of the proposed approaches are very complex and not suitable fo...
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Chapter and Conference Paper
A Multiple Sound Source Recognition System Using Pulsed Neuron Model with Short Term Synaptic Depression
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kind of system is the natural pre...
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Chapter and Conference Paper
A Novel Approach for Hardware Based Sound Localization
Sound localization is an important ability intrinsic to animals, being currently explored by several researches. Even though several systems and implementations have being proposed, the majority is very comple...
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Chapter and Conference Paper
A Back-Propagation Training Method for Multilayer Pulsed Neural Networks Using Principle of Duality
Pulsed Neuron (PN) model was proposed as one of the simplest models working by pulse trains. PN model has a membrane potential to deal with the temporal information, and the calculation process is inexpensive....
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Chapter and Conference Paper
A Novel Approach for Hardware Based Sound Classification
Several applications would emerge from the development of efficient and robust sound classification systems able to identify the nature of non-speech sound sources. This paper proposes a novel approach that co...
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Chapter and Conference Paper
The Detection of an Approaching Sound Source Using Pulsed Neural Network
Current automobiles’ safety systems based on video cameras and movement sensors fail when objects are out of the line of sight. This paper proposes a system based on pulsed neural networks able to detect if a ...
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Chapter and Conference Paper
A Complete Hardware Implementation of an Integrated Sound Localization and Classification System Based on Spiking Neural Networks
Several applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. This paper proposes an integrated sound localization and classification syst...
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Chapter and Conference Paper
Separation and Recognition of Multiple Sound Source Using Pulsed Neuron Model
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kind of system is the natural pre...
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Chapter and Conference Paper
A New Approach for Applying Support Vector Machines in Multiclass Problems Using Class Grou**s and Truth Tables
The Support Vector Machines (SVMs) had been showing a high capability of complex hyperplane representation and great generalization power. These characteristics lead to the development of more compact and less...
