Abstract: In the field of computational pathology, multiple instance learning (MIL) has become a critical modeling framework for analyzing gigapixel whole-slide images (WSIs). Data scarcity, ...
1 Qingdao Huanghai University, Qingdao, China 2 College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China High-resolution remote sensing imagery is a powerful ...
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 ...
I'm training a binary classifier (good vs bad images) using YOLO11n-cls.pt with Ultralytics (version 8.3.182). In my training script, I'm passing various augmentation parameters like: However, in the ...
Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...
Implementation of multiple deep learning models using Keras Functional API, including a CNN on MNIST, a multi-input/multi-output example, and a toy ResNet on CIFAR-10 ...
ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...
A data breach of the Tea app recently exposed users' selfies, IDs, and private messages. The breach shows the risk of giving out your sensitive information to new apps. Cybersecurity experts say ...
A data breach exposed photos and ID cards of women who signed up for a fast-growing app for women to share details of men they might date. By Isabella Kwai A fast-growing app for women was hacked ...
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