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 ...

Not all clicks are equal. A repeat buyer, a first-time visitor and a lapsed customer should be treated differently.

Abstract: Medical image segmentation plays a pivotal role in ensuring accurate diagnosis. Traditional methods are predominantly monomodal, relying solely on image data. These image-only methods ...

Dr. Witt is the author of “The Radical Fund: How a Band of Visionaries and a Million Dollars Upended America.” In a year when the United States seemed more split than ever, Americans united in one way ...

In a leap for clinical research, MIT researchers have created an AI-based system set to shake up how medical images are annotated, a task essential to the study of biomedical images. The new tool, ...

Based on data from its call center, a warranty company thought its market was predominantly female. However, when that company commissioned marketing research, it found that its customer base was ...

Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...

Brands chasing growth through new segments often alienate their most loyal customers. Here’s how to manage segment conflict before it breaks your brand. Segment conflicts matter. Customer segments ...