Proteins need to be located in appropriate spatiotemporal contexts to carry out their diverse
biological functions. Mislocalized proteins may lead to a broad range of diseases, such as …

Brain tumors pose formidable challenges in oncology due to the intricate biology and the
scarcity of effective treatment modalities. The emergence of immunotherapy has opened …

Person Re-Identification is an essential task in computer vision, particularly in surveillance
applications. The aim is to identify a person based on an input image from surveillance …

Even though several advances have been made in recent years, handwritten script
recognition is still a challenging task in the pattern recognition domain. This field has gained …

With the inexpensive and innovative computational advancements in the digital imaging and
storage technologies, the application of the medical imagery information repositories into the …

The identification of cancer tissues in Gastroenterology imaging poses novel challenges to
the computer vision community in designing generic decision support systems. This generic …

Image processing is an important field in the computer vision domain. A lot of work has been
done for the processing of image data in various fields like science and technology, defense …

Protein sequence classification is a crucial task in the field of bioinformatics as it helps to
reveal various types of properties of proteins. Machine learning and deep learning …

Background: Fluorescence microscopy has increasingly promising applications in life
science. This bibliometrics-based review focuses on deep learning assisted fluorescence …