The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

Recently, artificial intelligence (AI)-based algorithms have revolutionized the medical image
segmentation processes. Thus, the precise segmentation of organs and their lesions may …

Traditional batteries or external supply powered wireless sensing system are needed to be
improved for realizing the development of the smart industry with low-carbon, green and …

Early and accurate detection and classification of glioma types is of paramount importance
in determining treatment planning and increasing the survival rate of patients. At present …

Hyperspectral image (HSI) classification plays a crucial role in remote sensing (RS)
applications, enabling the precise identification of materials and land cover based on …

Invading pests and diseases always degrade the quality and quantity of plants. Early and
accurate identification of plant diseases is critical for plant health and growth. This work …

Abstract Convolutional Neural Networks (CNNs) have been central to the Deep Learning
revolution and played a key role in initiating the new age of Artificial Intelligence. However …

Classifying specimens is a critical component of ecological research, biodiversity monitoring
and conservation. However, manual classification can be prohibitively time‐consuming and …

Glaucoma, a disease that damages the optic nerve, is the leading cause of irreversible
blindness worldwide. The early detection of glaucoma is a challenge, which in recent years …