CNN-based COPD diagnosis and staging using single-phase CT has accuracy comparable to inspiratory-expiratory CT with clinical ...

San Antonio student Neha Hariharaprasad has won Texas's 20th Congressional District's Congressional App Challenge with her ...

Researchers have discovered that single-phase CT scans along with clinical data can achieve accuracy equivalent to dual-phase ...

This repository provides a demonstration of a deep learning-based system for detecting melanoma from grayscale images. The model predicts whether an input image is classified as "BENIGN" or "MELANOMA, ...

Traditional deep neural networks typically only focus on the spatial and temporal features of EEG, resulting in relatively low decoding and accuracy rates for motor imagery tasks. To address these ...

Java Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling ...

Most existing methods based on convolution neural networks (CNNs) and transformers still suffer from heavy computational burdens and have room for improvement in capturing the global–local ...