IEEE

Meta-Transformers: A Hybrid Approach for Medical Image Segmentation With U-Net and Meta-Learning

Abstract: The increasing demand for accurate and efficient medical image segmentation has driven the development of advanced Artificial Intelligence (AI) models to assist in diagnosing and planning ...
IEEE

Common Pattern Prior-Driven Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image segmentation, aiming to alleviate the scarcity of high-quality annotations by combining limited labeled ...
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 ...
GitHub

Segmentation fault on shutdown when using Python backend metrics

When shutting down the Triton Inference Server with Python backend while using Triton metrics, a segmentation fault occurs in python_backend process. This happens because Metric::Clear attempts to ...
Geeky Gadgets

Build a Safer OpenClaw Alternative AI Assistant Using Claude Code

Building a safer alternative to OpenClaw using Claude Code addresses significant security concerns while preserving the core functionality of an AI assistant. OpenClaw is recognized for its automation ...