Integrating Deep Learning with Microfluidics for Biophysical Classification of Sickle Red Blood Cells

3D Spectral boundary integral solver for cell-scale blood flow

2D Spectral boundary integral solver for cell-scale blood flow

Malaria detection with image data using various methods in python.

Machine Learning Techniques for the Classification of Red Blood Cells Based on the Young’s Modulus

Projek Sains Data Deep Learning klasifikasi sel darah merah menggunakan arsitektur CCN klasik.

Projek Deep Learning klasifikasi sel darah merah menggunakan arsitektur CCN klasik.

Image Classification to identify whether Red Blood Cells are infected with Malaria or not.

Thin blood smear microscopic images for malaria classification. Images viewed under a 1000x Olympus and pictures taken with an android phone camera

University Image-Processing Project and Report using MatLab to filter, optimize and perform image-recognition on red blood cells, white blood cells, and bacteria for use in medical imaging.