By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural ...

Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities.

“The introduction of a dedicated CPT code for our technology demonstrates the clinical importance of our ureteral stone solution,” said Paul Molloy, CEO, Avvio Medical.

Your ZIP code can determine your health. Learn about 6 ways you can be denied medical care, limiting your healthcare access based on where you live.

Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI ...

U-shaped networks and its variants have demonstrated exceptional results for medical image segmentation. In this paper, we propose a novel dual self-distillation (DSD) framework in U-shaped networks ...

Companion code for the paper "Prompt Once, Segment Everything: Leveraging SAM 2 Potential for Infinite Medical Image Segmentation with a Single Prompt" - i3uex/prompt_once_segment_everything_code ...

Abstract: Medical image segmentation has made signiffcant strides with the development of basic models. Speciffcally, models that combine CNNs with transformers can successfully extract both local and ...

The claim: Image shows Trump’s leaked hospital form after Butler rally shooting A Feb. 8 Threads post (direct link, archive link) claims to show President Donald Trump’s private medical ...