IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
IEEE

Novel Class Discovery for Hyperspectral Image via Class-Relation Perceptive Distillation With Prototype-Level Clustering Prediction

Abstract: Confronted with the increasing emergency of hyperspectral remote sensing categories in the dynamic environment, traditional classification models that depend on fixed-category labeled data ...
Frontiers

Critical considerations for the use of deep learning models in clinical oncology prediction

In a recent study on clinical prediction models, Liu (1) and colleagues developed a deep learning model to predict ALN pCR in ALN-positive breast cancer patients undergoing NAT by analyzing ...
GitHub

coffeegrind123/gemini-for-claude-code

This server acts as a bridge, enabling you to use Claude Code with Google's powerful Gemini models. It translates API requests and responses between the Anthropic format (used by Claude Code) and the ...