Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Abstract: State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from background ...

Fashion brand Ralph Lauren’s claim to design dreams, not clothes, was in danger of being eclipsed by a lack of customer understanding. Margins and the brand’s image were being eroded by continual ...

Abstract: Semantic segmentation is a critical technique for effective scene understanding. Traditional RGB-T semantic segmentation models often struggle to generalize across diverse scenarios due to ...

Segmenting the marketing properly is an important step in marketing. But then we need to describe the customers in the various segments. Describing customers is important for various reasons. First, ...