A web application that detects malaria infected red blood cells in real-time

dc.contributor.advisorDr. Mahdy Rahman Chowdhury
dc.contributor.authorFariha Islam
dc.contributor.authorPorsia Tithi
dc.contributor.authorBiswas Nazimuddin Nadim
dc.contributor.id1511602042
dc.contributor.id1420674042
dc.contributor.id1410291642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-06-15
dc.date.accessioned2025-06-15T08:43:21Z
dc.date.available2025-06-15T08:43:21Z
dc.date.issued2019-04-30
dc.description.abstractBangladesh is considered as one of the malaria endemic countries in South Asia hence detecting it at an earlier stage and being able to keep records can save life. The Pathology Assistant is a web app built for Pathologists to be able to create patient profile, upload red blood cell images which is stored in the database and run through a neural network. The neural network can perform binary classification which can tell the pathologist whether the red blood cell is malaria infected or not. This way the pathologist can keep track of the patients condition and upload more images time to time to check the improvements of the patients condition in real time.
dc.description.degreeUndergraduate
dc.identifier.cd600000210
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1169
dc.language.isoen_US
dc.publisherNorth South University
dc.rights© NSU Library
dc.titleA web application that detects malaria infected red blood cells in real-time
dc.typeProject
oaire.citation.endPage35
oaire.citation.startPage1
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
600000210-abstract.pdf
Size:
247.7 KB
Format:
Adobe Portable Document Format
Description:
Loading...
Thumbnail Image
Name:
600000210.pdf
Size:
597.97 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.93 KB
Format:
Item-specific license agreed to upon submission
Description: