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 ...

Ann Behan has 10 years-plus of experience researching, writing, and editing articles, white papers, and executing searches at the board level across various industries. Her expertise includes ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Abstract: Automatic segmentation of port-wine stains (PWS) from clinical images is critical for accurate diagnosis and objective assessment of PWS. However, this is a challenging task due to the color ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Lesion localization is the first and most important step in the development of a melanoma detection system. Skin lesions show distinct color variations as they evolve from benign to ...

Given a new segmentation task (e.g. new biomedical domain, new image type, new region of interest, etc), most existing strategies involve training or fine-tuning a segmentation model that takes an ...

U2Seg has 4 stages: 1) generating pseudo instance masks with MaskCut and clustering, 2) generating pseudo semantic masks with STEGO and 3) merging instance masks, semantic masks to get pseudo labels ...