Help function: Shows the commands that you can use. Stop function: Stops the conversation with the Telegram bot. Image Classification: Processed with OpenCV and predicted using the trained CNN model.

and a classification probability map of the same spatial size as the input image is output. To obtain multi-level contextual information, three main methods have been widely used, including using ...

School of Computer Science, Wuhan University, Wuhan 430072, P. R. China ...

With your iPhone, there’s no need to be left wondering what you saw – just use Visual Look Up. Simply snap a photo of the animal or plant in question, open the image in the Photos app ...

In this study, we introduce an improved inter-client relation matching algorithm for semi-supervised federated medical image classification (iFedIRM ... discriminative information from unlabeled data ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

This project uses deep learning to automatically classify sludge images as "normal" or "anomaly" based on visual characteristics. The system is designed to alert operators when the sludge quality ...

existing works fuse either 2D brain MRI image slices or 3D brain images. In this paper, we propose a novel semantic method for MRI brain tumor classification using a multimodal fusion of 2D and 3D MRI ...

A novel explainable machine learning model accurately differentiates essential tremor from cortical myoclonus using wearable ...