Hematology | Pathology Pursuing the elusive footsteps of malaria in peripheral blood smears utilizing artificial intelligence. July 8, 2024
Hematology | Pathology 1 Million Segmented Red Blood Cells With 240 K Classified in 9 Shapes and 47 K Patches of 25 Manual Blood Smears. July 2, 2024
Haematology | Pathology Leveraging deep learning for detecting red blood cell morphological changes in blood films from children with severe malaria anaemia. June 19, 2024
Biomedical Engineering | Hematology | Pathology A Novel Image Processing Method for Obtaining an Accurate Three-Dimensional Profile of Red Blood Cells in Digital Holographic Microscopy. December 22, 2023
Hematology | Infectious Diseases | Medical Imaging Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells. December 13, 2023
Biomedical Engineering | Haematology | Medical Imaging AI based image analysis of red blood cells in oscillating microchannels. October 2, 2023
Computer Science | Hematology RedTell: an AI tool for interpretable analysis of red blood cell morphology. June 12, 2023
Biomedical Engineering | Hematology AI-based analysis of 3D position and orientation of red blood cells using a digital in-line holographic microscopy. March 24, 2023
Hematology | Laboratory Medicine Deep ensemble learning enables highly accurate classification of stored red blood cell morphology. February 24, 2023
Bioinformatics | Hematology Data for assessing red blood cell deformability from microscopy images using deep learning. February 17, 2023
Biomedical Engineering | Hematology Assessing red blood cell deformability from microscopy images using deep learning. December 7, 2021
Biophysics | Hematology | Medical Imaging Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin. November 29, 2021