Brain tumor is a severe cancer and a life-threatening disease. Thus, early detection is crucial
in the process of treatment. Recent progress in the field of deep learning has contributed …

Alzheimer's disease is an incurable neurological disorder that leads to a gradual decline in
cognitive abilities, but early detection can significantly mitigate symptoms. The automatic …

Background: Corneal fluorescein sodium staining is a valuable diagnostic method for
various ocular surface diseases. However, the examination results are highly dependent on …

Abstract\Merupakan warisan budaya Indonesia, batik Papua hadir dengan ragam motif,
selain dikenal dengan motif daerah asal pembuatannya, motif corak budaya serta corak …

The integration of cognitive radio network (CRNet) with internet of things (IoT) holds
tremendous potential for creating more intelligent and advanced technological ecosystems …

Computer aided diagnostic (CAD) are used by radiologists and medical specialists to
classify brain tumors from machine generated magnetic resonance image (MRI). Acquisition …

In this study, a new neural network model (EfficientNet B1-B2) was sought for the detection
of brain tumors in magnetic resonance imaging (MRI) images. The primary objective was to …

The purpose of this research is to investigate the utilization of hybrid models in
dermatological diagnostics and to demonstrate the potential of these models to advance …

One of the most crucial and challenging jobs in the world of medical imaging is the detection
of brain tumors. Manual classification with human assistance can lead to inaccurate …

Speech, recognizing, learning, programming, and problem-solving are all meant to be
included in artificial intelligence computing activities. Artificial intelligence (AI), a subfield of …