Skin diseases are a global problem, affecting millions and posing serious health risks. Diagnosing these diseases can be tough, needing careful exams, medical history reviews, and lab tests. As diseases get more complex, spotting them becomes harder. This research uses a deep learning model with tra
Have you ever wondered how doctors can accurately spot your spleen in a fuzzy ultrasound image? Turns out, a clever mix of two powerful methods called SegFormerB0 and Pix2Pix can do the job beautifully. First, the SegFormerB0 network takes a stab at finding the spleen. Then, the Pix2Pix structure st
Antimicrobial peptides, nicknamed AMPs, are tiny peptides that help defend against diseases. As antibiotic resistance grows thanks to misuse, finding AMPs has become a big deal. These peptides could be an alternative to traditional antibiotics. The challenge lies in accurately identifying AMPs using
Plants grow and develop thanks to some clever hormonal mechanisms. One of these is cell elongation, which plays a big role in how plants grow and change. Scientists have created a new tool called Nextflow-root, or nf-root for short. This tool is like a pipeline that helps analyze pictures of plant r
Imagine you're trying to see a hidden path, but it's either too bright or too dark. This is where combining visible (vis) and infrared (IR) images comes in. Visible light helps us see details in daylight, while infrared lets us spot heat even in darkness. The trouble? These images are like two diffe
Powder X-ray diffraction, or PXRD, is a major tool used to study materials. While it’s commonly used, the part where humans have to manually analyze the data is tough, and automatic methods aren't great at fine details. Predicting exact crystal structures from PXRD has been a challenge. That's where
In sports like running, jumping, or soccer, coaches often need to study athletes' moves to help them improve. One big challenge is quickly spotting athletes, their gear, and field boundaries in videos or photos. Existing methods struggle with this, mainly because they lose important time details, mi
You know how dentists use special X-rays to see inside your mouth? It's called cone beam computed tomography (CBCT). When teeth are stuck or impacted, it can be tricky to see them clearly. Scientists recently tested four different smart computer tools, called deep learning methods, to see which one
Traffic forecasting on freeways has long relied on deep learning models, especially graph neural networks that blend graph theory with deep learning. These models are great at learning complex time and space patterns. However, traditional graph convolutional networks (GCNs) sometimes struggle with l
Understanding microbial communities is no easy task. These tiny organisms are incredibly diverse and complex, making it tough to get a clear picture of their functions. Traditional methods of predicting protein functions, which rely on similarities between sequences, often fall short. They struggle
