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In the rapidly evolving landscape of developer communities, Q&A platforms serve as crucial resources for crowdsourcing developers’ knowledge. A notable trend is the increasing use of images to convey complex queries more effectively. However, the ...

Mitosis detection is crucial for tumor diagnosis and prediction, yet, facing a domain shift challenge among different pathological images, which results in a poor generalization ability. Here, we introduce a Local Feature Alignment algorithm (LFA) to ...

The remarkable advancements in large language models (LLMs) and large-scale visual encoders have laid a solid foundation for enhancing the capabilities of artificial intelligence (AI) in various application scenarios. In this study, we introduce MOSS-MED, ...

This research project introduces an innovative approach to adaptive navigation in autonomous robotics by integrating robotics simulation, advanced image analysis, and cloud-based storage of digital twin simulations. The primary objective is to ...

The article focuses on the concepts of Cell Image Segmentation (CIS) and the gradual introduction of cell counting. Motivated by the rapid development of Machine learning (ML) methods, which is carried out in this investigation. ML is evolving ...

Mathematical Morphology has proven to be a powerful tool for extracting geometric information from greyscale images. In this paper, we demonstrate its application to spectrograms (two-dimensional greyscale images of sound) of music excerpts. The ...

This paper discusses the role of Transfer Learning (TL) and transformers in cancer detection based on image analysis. With the enormous evolution of cancer patients, the identification of cancer cells in a patient’s body has emerged as a trend in ...

In the field of drug discovery, the automated detection and analysis of cell nuclei within biological images play a pivotal role in understanding cellular responses to potential drug compounds. Leveraging the capabilities of DL techniques, this research ...

This paper offers a multi-resolution three-D magnetic resonance imaging (MRI) analysis approach used in prostate cancer imaging. The approach uses stringent pre-processing steps to create a consistent volumetric photo from the MRI scans, which is crucial ...

The aim of this study was to evaluate the effectiveness of [¹⁸F]-prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) imaging in discriminating high pathological grade (Gleason score > 7), and low ...

The use of computer vision, deep learning, and drones has revolutionized agriculture by enabling efficient crop monitoring and disease detection. Still, many challenges need to be overcome due to the vast diversity of plant species and their ...

Recently, extensive attention from researchers has been paid to users referring to product review comments when choosing products while shopping online. These shoppers are also more frequently demanding a visual search facility to identify similar or ...

Past research has demonstrated a linkage between social media usage and disordered eating habits and body dissatisfaction. Trends relating to eating disorders develop around specific hashtags in communities in social networking sites such as ...

GUI testing has been prevailing in software testing. However, existing automated GUI testing tools mostly rely on frameworks of a specific platform. Testers have to fully understand platform features before developing platform-dependent GUI testing ...

Multiple Sclerosis (MS) is considered a neurodegenerative disease that can cause multiple injuries within the Central Nervous System (CNS). MS can be diagnosed and qualitatively investigated with nuclear Magnetic Resonance (MR). In this study, a ...

We collected Instagram Direct Messages (DMs) from 100 adolescents and young adults (ages 13-21) who then flagged their own conversations as safe or unsafe. We performed a mixed-method analysis of the media files shared privately in these conversations ...

The F-score is a commonly used measure to compare model performances in machine learning applications. However, different computation methods of this metric may lead to significantly different results and introduce bias and limited comparability between ...

Picture gesture authentication (PGA), utilized by millions of users worldwide, is a cued-recall graphical authentication system which requires users to select an image and subsequently draw gestures on that image to create their picture password. A ...

The fragmentation problem has extended from Android to different platforms, such as iOS, mobile web, and even mini-programs within some applications (app), like WeChat1. In such a situation, recording and replaying test scripts is one of the most ...

Radiographs are X-rays of the craniofacial area, used for orthodontic diagnosis and treatment planning. Analysis of radiographs is a manual process. Public medical centers in developing countries such as South Africa experience a bottleneck in the ...