Cell Classification

MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems

This paper presents a novel machine learning framework (MIML) that enhances the precision and specificity of cell classification by integrating label-free cell images with biomechanical data, achieving a 98.3% classification accuracy.

Lymphocyte Cell Classification using Knowledge Distillation and Transfer Learning

Building a scalable cell classification model for T4 vs B cell and T8 vs B cell, leveraging Knowledge Distillation for speed optimization and Transfer Learning for zero-shot inference capabilities. The final deployment is planned for FPGA to enable real-time T-cell detection.