Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
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 ...
NewsNation host Chris Cuomo warned CNN analyst Scott Jennings on Wednesday that if he keeps using the term “illegal aliens,” somebody might beat him up. Cuomo accused Jennings of acting like a “bully” ...
Add Yahoo as a preferred source to see more of our stories on Google. NewsNation host Chris Cuomo warned CNN analyst Scott Jennings on Wednesday that if he keeps using the term “illegal aliens,” ...
Abstract: Medical image segmentation remains a challenging task due to the intricate nature of anatomical structures and the wide range of target sizes. In this paper, we propose a novel U-shaped ...
How does a cow scratch an itch on its back? An Austrian cow named Veronika has a solution that could change how we view livestock. For the past decade, Veronika has been observed by her owner ...
Abstract: Data annotation in medical image segmentation is time-consuming and expensive. Semi-supervised learning (SSL) presents a viable solution. However, unlike organ segmentation, current ...
Learning Domain Generalized Remote Sensing Image Segmentation by Multiscale Instance Disentanglement
Abstract: Remote sensing image segmentation is a fundamental task in Earth observation. Rapid development has been made in the past decade owing to the deep learning techniques. Most of the existing ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
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