Abstract: Domain shifts between samples acquired with different instruments are one of the major challenges in accurate segmentation of Optical Coherence Tomography (OCT) images. Given that OCT images ...
Referring Image Segmentation (RIS) is a vision-language task that identifies and segments objects in images based on free-form text descriptions. This study investigates effective data augmentation ...
ABSTRACT: The sugar moieties of anthocyanins can be acylated via enzymatic transesterification, which improves their solubility in lipids and enhances their stability to external factors such as light ...
In this study, we explore a novel method leveraging quantum generative adversarial networks (QGANs) for data augmentation in cancer image classification tasks. We focus on the application of QGANs to ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
Abstract: Recently, single-source domain generalization (SDG) has gained popularity in medical image segmentation. As a prominent technique, adversarial image augmentation technique can generate ...
Microsoft has just announced a major upgrade to Python in Excel, allowing you to directly analyze and manipulate images within your spreadsheets. The feature is available for Excel on Windows, Mac, ...
One of the biggest stories in pop culture this week was about none other than Kylie Jenner's breasts. Now, in case the news somehow passed you by, the seemingly groundbreaking announcement which has ...
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