A deep learning AlexNet model for classification of red blood cells in sickle cell anemia

• Main Authors: Abdulkarim, Hajara Aliyu, Abdul Razak, Mohd. Azhar, Sudirman, Rubita, Ramli, Norhafizah
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/92681/1/RubitaSudirman2020_ADeepLearningAlexNetModelforClassification.pdf; http://eprints.utm.my/id/eprint/92681/; http://dx.doi.org/10.11591/ijai.v9.i2.pp221-228
• Institution: Universiti Teknologi Malaysia

Sickle cell anemia (SCA) is a serious hematological disorder, where affected patients are frequently hospitalized throughout a lifetime and even can cause death. The manual method of detecting and classifying abnormal cells of SCA patient blood film through a microscope is time-consuming, tedious, p...