IEEE

A Semi-supervised Ultrasound Image Segmentation Network Integrating Enhanced Mask Learning and Dynamic Temperature-controlled Self-distillation

Abstract: Ultrasound imaging is widely used in clinical practice due to its advantages of no radiation and real-time capability. However, its image quality is often degraded by speckle noise, low ...
UPI

Appeals court rejects Trump's lawsuit against CNN for 'Big Lie' phrase

Nov. 18 (UPI) --President Donald Trump's lawsuit against CNN for using the phrase "The Big Lie" was rejected by a federal appeals court. Trump was trying to revive the $475 million suit against the ...
Ars Technica

I’ve already been using a “Steam Machine” for months, and I think it’s great

Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your ...
IEEE

An Efficient Encoding Spectral Information in Hyperspectral Images for Transfer Learning of Mask R-CNN for Instance Segmentation of Tomato Sepals

Abstract: The most vulnerable parts of tomatoes are the tips of the sepals, which are the primary entry points for fungal spores. Their precise segmentation within hyperspectral images (HSIs) plays a ...
IEEE

On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...
IEEE

Fingerprint Image Segmentation Using Machine Learning Techniques

Abstract: Sophisticated Machine Learning Techniques were used to conduct an exhaustive study of fingerprint images cutoffs. An assessment and comparisons will be done with the available approaches and ...
IEEE

Domain-Aware Transfer Learning With SAM-Assisted Mask R-CNN for Urban Tree Crown Delineation From UAV Orthophotos

Abstract: Accurate tree crown delineation from very high-resolution UAV orthophotos in urban areas remains challenging due to landscape complexity and the scarcity of representative annotated data.
IEEE

Customer Segmentation Using Machine Learning

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

EviVLM: When Evidential Learning Meets Vision Language Model for Medical Image Segmentation

Abstract: The disparity between image and text representations, often referred to as the modality gap, remains a significant obstacle for Vision Language Models (VLMs) in medical image segmentation.
IEEE

Tooth Enamel segmentation from dental x-ray using MASK R-CNN Algorithm

Abstract: In order to detect cavities on teeth, dentists analyse dental x-rays. Initially, dental cavities develop on the delicate surface of the teeth, known as enamel, and subsequently progress to ...