Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams
Schistosoma mansoni is one of the tropical diseases with the greatest epidemic reach in the world. One of the WHO guidelines is the prior and efficient diagnosis for mapping foci and applying the appropriate treatment of infected people. The current process for diagnosis still depends on an analysis...
Saved in:
Main Authors: | Ammar Akram Abdulrazzaq, Asaad T. Al-Douri, Abdulsattar Abdullah Hamad, Mustafa Musa Jaber, Zelalem Meraf |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Bioinorganic Chemistry and Applications |
Online Access: | http://dx.doi.org/10.1155/2022/2682287 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams
by: Bioinorganic Chemistry and Applications
Published: (2023-01-01) -
A Protozoology and Parasitological Techniques Brochure
by: Josefina Isabel Vázquez Martínez, et al.
Published: (2012-06-01) -
Clinical parasitology : a practical approach /
by: Gockel-Blessing, Elizabeth A.
Published: (2013) -
Parasitological finding in Cienfuegos. A future view
by: Yoelvis Castro Bruzón, et al.
Published: (2019-06-01) -
Using Depth Cameras for Recognition and Segmentation of Hand Gestures
by: Khalid Twarish Alhamazani, et al.
Published: (2021-01-01)