Abstract: Medical image segmentation is a key task in medical image analysis, which is widely used in tumor detection, organ segmentation and other fields. However, the annotation of medical image ...

Abstract: 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 ...

Dive into Faraday’s Law of Electromagnetic Induction with a practical Python implementation in this first part of our Electrodynamics series. Learn how to simulate and visualize changing magnetic ...

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...

SANSA unlocks the hidden semantics of Segment Anything 2, turning it into a powerful few-shot segmenter for both objects and parts. 🚀 No fine-tuning of SAM2 weights. 🧠️ Fully promptable: points · ...

Visual example of our conformal margin: we build a morphological margin (via dilation) that covers all missed pixels (false negatives). Dataset: WBC In the following image, we have a ground truth mask ...