The TreeScanPL10K dataset provides over 10,000 annotated TLS point clouds, advancing precision forestry and ecological ...

Stanford University’s Deep Learning for Computer Vision (XCS231N) is a 100% online, instructor-led course offered by the ...

Popular GitHub repos like Microsoft’s “Generative AI for Beginners” and “LLMs from Scratch” teach modern AI concepts step by ...

Lung cancer diagnosis relies heavily on interpreting complex computed tomography (CT) images, where accuracy can vary ...

Researchers have developed a soft measurement method based on a convolutional long short‑term memory (ConvLSTM) network that ...

Colorectal cancer is responsible for a high proportion of cancer mortality. The most effective way to avoid colorectal cancer is to have a colonoscopy. However, not every polyp in the colon is prone ...

Abstract: This research presents a novel deep learning-based approach to satellite image classification using the RSI-CB256 dataset, which consists of four distinct classes: cloudy, desert, green area ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...