red-blood-cells

HemoPI2: Prediction of hemolytic activity of peptides against mammalian RBCs

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

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

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

Malaria detection with image data using various methods in python.

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

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

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

Malaria Parasite Species Classification is a deep learning project that uses the VGG16 architecture with custom layers and image augmentation to classify malaria parasite species from microscopic images, improving accuracy and robustness with transfer learning.

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