Afonso U. Fonseca
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View article: Controlled expansion stent grafts versus legacy stent grafts for transjugular intrahepatic portosystemic shunt: a single-centre retrospective study on the incidence of hepatic encephalopathy
Controlled expansion stent grafts versus legacy stent grafts for transjugular intrahepatic portosystemic shunt: a single-centre retrospective study on the incidence of hepatic encephalopathy Open
View article: Uma nova abordagem de padrões binários em radiografias de tórax para avançar o diagnóstico de tuberculose
Uma nova abordagem de padrões binários em radiografias de tórax para avançar o diagnóstico de tuberculose Open
Objetivo: A tuberculose (TB) afeta milhões de pessoas, principalmente as mais miseráveis, revelando desigualdades sociais. Apesar dos avanços da inteligência artificial (IA) no controle da TB, poucos benefícios chegam aos mais necessitados…
View article: Uma visão sobre a classificação de pneumonia viral e bacteriana por radiografias de tórax
Uma visão sobre a classificação de pneumonia viral e bacteriana por radiografias de tórax Open
Objetivo: Este estudo apresenta uma revisão sistemática sobre o uso de Inteligência Artificial (IA), especialmente Deep Learning (DL), no diagnóstico e classificação da pneumonia por radiografias de tórax (RXT). Método: O estudo segue o pr…
View article: Sobre a análise de sinais de voz para o diagnóstico da doença de Parkinson
Sobre a análise de sinais de voz para o diagnóstico da doença de Parkinson Open
Objetivo: Este estudo investiga se o possível viés na sobreamostragem via janelamento de dados de marcha em indivíduos com Doença de Parkinson (DP) também ocorre em sinais vocais. Um estudo anterior levantou a hipótese de que amostras dist…
View article: Evaluating machine learning techniques for enhanced glaucoma screening through Pupillary Light Reflex analysis
Evaluating machine learning techniques for enhanced glaucoma screening through Pupillary Light Reflex analysis Open
Glaucoma is a leading cause of irreversible visual field degradation, significantly impacting ocular health. Timely identification and diagnosis of this condition are critical to prevent vision loss. A range of diagnostic techniques is emp…
View article: Avaliando a Sobreamostragem de Dados Temporais de Marcha no Diagnóstico Automático de Doenças Neurodegenerativas
Avaliando a Sobreamostragem de Dados Temporais de Marcha no Diagnóstico Automático de Doenças Neurodegenerativas Open
Doenças neurodegenerativas (DNDs) causam, dentre outros sintomas, o comprometimento da marcha. Diversos estudos analisam a marcha para, com o auxílio da inteligência artificial, auxiliar no diagnóstico de DNDs. Devido à dificuldade de cole…
View article: Automated Lung Region Segmentation in Pediatric Chest Radiography
Automated Lung Region Segmentation in Pediatric Chest Radiography Open
In chest radiographs, the automatic identification of regions, structures, or objects that compose it can help the professional in the area to perform their reading and analysis more assertively, promoting the improvement and efficiency of…
View article: An automatic method for estimating insect defoliation with visual highlights of consumed leaf tissue regions
An automatic method for estimating insect defoliation with visual highlights of consumed leaf tissue regions Open
As an essential component of the architecture of a plant, leaves are crucial to sustaining decision-making in cultivars and effectively support agricultural processes. When the leaf area is constantly monitored, a plant’s health and produc…
View article: Enhancing Corn Image Resolution Captured by Unmanned Aerial Vehicles With the Aid of Deep Learning
Enhancing Corn Image Resolution Captured by Unmanned Aerial Vehicles With the Aid of Deep Learning Open
The increasing global population has heightened the demand for food, making it crucial to optimize agricultural practices. As a versatile crop, corn plays a crucial role in global food security, particularly in countries like the United St…
View article: Evaluating Machine Learning Techniques for Enhanced Glaucoma Screening Through Pupillary Light Reflex Analysis
Evaluating Machine Learning Techniques for Enhanced Glaucoma Screening Through Pupillary Light Reflex Analysis Open
View article: Evaluating Machine Learning Techniques for Enhanced Glaucoma Screening Through Pupillary Light Reflex Analysis
Evaluating Machine Learning Techniques for Enhanced Glaucoma Screening Through Pupillary Light Reflex Analysis Open
View article: A novel tuberculosis diagnosis approach using feed-forward neural networks and binary pattern of phase congruency
A novel tuberculosis diagnosis approach using feed-forward neural networks and binary pattern of phase congruency Open
Tuberculosis is a severe and contagious lung disease that kills more than one million people annually, representing a real public health problem worldwide. Meanwhile, researchers and industry have highlighted the potential of analyzing and…
View article: ProtectLeaf: An insect predation analyzer for agricultural crop monitoring
ProtectLeaf: An insect predation analyzer for agricultural crop monitoring Open
Agricultural production positively impacts the global economy and is crucial in delivering supplies and maintaining life. However, predatory insects are estimated to have a significant productivity impact on agricultural fields. As the exc…
View article: An Intelligent System to Improve Diagnostic Support for Oral Squamous Cell Carcinoma
An Intelligent System to Improve Diagnostic Support for Oral Squamous Cell Carcinoma Open
Oral squamous cell carcinoma (OSCC) is one of the most-prevalent cancer types worldwide, and it poses a serious threat to public health due to its high mortality and morbidity rates. OSCC typically has a poor prognosis, significantly reduc…
View article: Diagnosticando Tuberculose com Redes Neurais Artificiais e Recursos BPPC
Diagnosticando Tuberculose com Redes Neurais Artificiais e Recursos BPPC Open
Tuberculose é uma doença grave e contagiosa que mata milhões de pessoas, sendo um problema de saúde pública global. Enquanto isso, o uso da Inteligência Artificial na radiologia tem despertado crescente interesse de pesquisadores e da indú…
View article: CBIR-ANR: A content-based image retrieval with accuracy noise reduction
CBIR-ANR: A content-based image retrieval with accuracy noise reduction Open
Due to the expansion of multimedia data leveraged by social networks and smartphone devices, large sets of information are available and increasing daily. In this context, information retrieval is crucial to open new opportunities to indiv…
View article: Insect Predation Estimate Using Binary Leaf Models and Image-Matching Shapes
Insect Predation Estimate Using Binary Leaf Models and Image-Matching Shapes Open
Estimating foliar damage is essential in agricultural processes to provide proper crop management, such as monitoring the defoliation level to take preventive actions. Furthermore, it is helpful to avoid the reduction of plant energy produ…
View article: Segmentação da Região Pulmonar em Radiografias Pediátricas de Tórax
Segmentação da Região Pulmonar em Radiografias Pediátricas de Tórax Open
Nas radiografias de tórax (RXT), a identificação automática de regiões, estruturas ou objetos que a compõem pode auxiliar o profissional da área a realizar sua leitura e análise de forma mais assertiva, promovendo a melhoria e eficiência d…
View article: Automatic detection and evaluation of sugarcane planting rows in aerial images
Automatic detection and evaluation of sugarcane planting rows in aerial images Open
Sugarcane planting is an important and growing activity in Brazil. Thereupon, several techniques have been developed over the years to maximize crop productivity and profit, amongst them, processing of sugarcane field images. In this sense…
View article: Automatic detection of insect predation through the segmentation of damaged leaves
Automatic detection of insect predation through the segmentation of damaged leaves Open
View article: A Research Agenda on Pediatric Chest X-Ray: Is Deep Learning Still in Childhood?
A Research Agenda on Pediatric Chest X-Ray: Is Deep Learning Still in Childhood? Open
Several reasons explain the significant role that chest X-rays play on supporting clinical analysis and early disease detection in pediatric patients, such as low cost, high resolution, low radiation levels, and high availability. In the l…
View article: Pediatric Chest Radiography Research Agenda: Is Deep Learning Still in Childhood?
Pediatric Chest Radiography Research Agenda: Is Deep Learning Still in Childhood? Open
Despite advances in the acquisition of medical imaging and computer-aided support techniques, x-rays due to their low cost, high availability and low radiation levels are still an important diagnostic procedure, constituting the most frequ…