Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
IEEE

Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation

Abstract: Federated cross learning has shown impressive performance in medical image segmentation. However, it encounters the catastrophic forgetting issue caused by data heterogeneity across ...
IEEE

Uncertainty-Driven Edge Prompt Generation Network for Medical Image Segmentation

Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...
GitHub

image-convert

A modern Python GUI application for open-source image conversion and resizing, built with PySide6. Supports drag & drop, clipboard paste, URL fetching, unit conversion (pixels, cm, inches), batch ...