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 ...
The Manila Times

Minkang Zhang Enhances Microscopic Image Analysis Through Deep Learning and Intelligent AFM Processing

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
IEEE

Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot

Abstract: Objective: Tongue image segmentation is a crucial step in the intelligent recognition of tongue diagnosis in Traditional Chinese Medicine (TCM). Existing deep learning-based tongue image ...
GitHub

rfm-segmentation

Customer segmentation project using the RFM (Recency, Frequency, Monetary) model to categorize customers based on purchasing behavior. Includes automated data cleaning, RFM scoring, business segment ...
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 ...