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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.
Projek Sains Data Deep Learning klasifikasi sel darah merah menggunakan arsitektur CCN klasik.
Machine Learning Techniques for the Classification of Red Blood Cells Based on the Young’s Modulus
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.
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.