Artificial neural networks and bppc features for detecting covid-19 and severity level
Since vaccination started, the COVID-19 scenario has improved. On the other hand,
although the number of deaths has significantly dropped, the number of new cases is still a …
although the number of deaths has significantly dropped, the number of new cases is still a …
Comparative study of DCNN and image processing based classification of chest X-rays for identification of COVID-19 patients using fine-tuning
The conventional detection of COVID-19 by evaluating the CT scan images is tiresome,
often experiences high inter-observer variability and uncertainty issues. This work proposes …
often experiences high inter-observer variability and uncertainty issues. This work proposes …
[HTML][HTML] A novel tuberculosis diagnosis approach using feed-forward neural networks and binary pattern of phase congruency
AU Da Fonseca, PL Parreira, G da Silva Vieira… - Intelligent Systems with …, 2024 - Elsevier
Tuberculosis is a severe and contagious lung disease that kills more than one million
people annually, representing a real public health problem worldwide. Meanwhile …
people annually, representing a real public health problem worldwide. Meanwhile …
[PDF][PDF] Intelligent Systems with Applications
AU da Fonseca, PL Parreira, G da Silva Vieira, JP Felix… - researchgate.net
Tuberculosis is a severe and contagious lung disease that kills more than one million
people annually, representing a real public health problem worldwide. Meanwhile …
people annually, representing a real public health problem worldwide. Meanwhile …