Tuberculosis (TB) is an infectious disease that has been a major menace to human health
globally, causing millions of deaths yearly. Well-timed diagnosis and treatment are an arch …

Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect …

In the area of pattern recognition and machine learning, features play a key role in
prediction. The famous applications of features are medical imaging, image classification …

Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …

An optimized dense convolutional neural network (CNN) architecture (DenseNet) for corn
leaf disease recognition and classification is proposed in this paper. Corn is one of the most …

The integration of deep learning (DL) and fuzzy learning (FL) is considered a recently
emerging and promising research direction in data embedding. The integrated fuzzy neural …

Segmentation of skin lesions is a challenging task because of the wide range of skin lesion
shapes, sizes, colors, and texture types. In the past few years, deep learning networks such …

The scale of medical data is growing rapidly, and these data come from different data
sources. The amount of data is huge, the production speed is fast, and the format is different …

Sentiment analysis, a challenging task in understanding human emotions expressed
through diverse modalities, prompts the development of innovative solutions. Multimodal …

Tumor segmentation in brain MRI images is a noted process that can make the tumor easier
to diagnose and lead to effective radiotherapy planning. Providing and building intelligent …