Sickle cell identification using image processing and red blood cell morphological characteristics
Blood is the most vital liquid that helps sustain the healthiness and life of the human body. Biologically, normal red blood cells have circular shapes and play a key role in transporting oxygen and nutrient to tissues. Red blood cells are bendable, which allows them to pass through the veins and ar...
Saved in:
Main Author: | Abdul Malik, Umar Turaki |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/96902/1/UmarTurakiAbdulMalikMFABU2021.pdf.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Red blood cells segmentation and estimation
by: Mansor, Muhammad Asraf
Published: (2012) -
Faster convolutional neural network inferencing for screening red blood cell disease
by: Nor Azman, Muhammad Nor Azzafri
Published: (2021) -
Microfluidic based impedance flow cytometry-dual microneedles for red blood cell detection
by: Mansor, Muhammad Asraf
Published: (2022) -
Transmitarray antenna unit cell characteristics for 5G applications
by: Saleh, Mustafa Hazim
Published: (2022) -
Morphological image segmentation for detection and classification of PCB defects
by: Indera Putera, Siti Hazurah
Published: (2007)