Cataracts are the leading cause of visual impairment and blindness globally. Over the years,
researchers have achieved significant progress in developing state-of-the-art machine …

Three-dimensional structure modeling from maps is an indispensable step for studying
proteins and their complexes with cryogenic electron microscopy. Although the resolution of …

The development of two-photon microscopy and Ca2+ indicators has enabled the recording
of multiscale neuronal activities in vivo and thus advanced the understanding of brain …

The refined segmentation of nuclei and the cytoplasm is the most challenging task in the
automation of cervical cell screening. The U-Shape network structure has demonstrated …

Class overlap in imbalanced datasets is the most common challenging situation for
researchers in the fields of deep learning (DL) machine learning (ML), and big data (BD) …

Change detection (CD) is a crucial task in remote sensing (RS) to distinguish surface
changes from bitemporal images. Recently, deep learning (DL) based methods have …

The appearance quality of apples directly affects their price. To realize apple grading
automatically, it is necessary to find an effective method for detecting apple surface defects …

Artificial Intelligence (AI) and especially Machine Learning (ML) are the driving energy
behind industrial and technological transformation. With the transition from industry 4.0 to …

Convolutional neural networks (CNNs) have gained popularity for Internet-of-Healthcare
(IoH) applications such as medical diagnostics. However, new research shows that …

Deep learning-based medical image segmentation has made great progress over the past
decades. Scholars have proposed many novel transformer-based segmentation networks to …