Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Aiming at the challenges of high intra-class disparity and low inter-class disparity in fine-grained image classification, a multi-branch fine-grained image classification method based on ...
Anomalous aortic origin of the coronary artery (AAOCA) is a rare cardiac condition that can cause ischemia or sudden cardiac death but might be overlooked or misclassified in routine coronary computed ...
• 🖼️ Whole-slide image processing: Load and preprocess whole slide images (WSIs) easily. • 🧩 Patch generation: Automatically generate patches from WSIs in parallel. • 🧠 Foundation models: Use ...
Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used ...
The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...
Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...
Abstract: Although Convolutional Neural Networks (CNNs) have achieved remarkable success in image classification, most CNNs use image datasets in the Red-Green-Blue (RGB) color space (one of the most ...
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