Guta Tesema Tufa
Biographic Data
| ID | 9992452 |
|---|---|
| NAME | Guta Tesema Tufa |
| GIVEN NAMES | Guta Tesema |
| FAMILY NAME | Tufa |
| SIGNATURE | TUFA G T |
| AFFILIATIONS | Arba Minch University |
| ORCID | 0000-0003-1071-2557 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Sputum smears quality inspection using an ensemble feature extraction approach
The diagnosis of tuberculosis (TB) is extremely important. Sputum smear microscopy is thought to be the best method available in terms of accessibility and ease of use in resource-constrained countries. In this paper, research was conducted to evaluate the effectiveness of tuberculosis diagnosis by examining, among other things, the underlying causes of sputum smear quality for Ethiopian states such as Tigray, Amahira, and Oromia. However, becaus…
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Sputum smears quality inspection using an ensemble feature extraction approach
The diagnosis of tuberculosis (TB) is extremely important. Sputum smear microscopy is thought to be the best method available in terms of accessibility and ease of use in resource-constrained countries. In this paper, research was conducted to evaluate the effectiveness of tuberculosis diagnosis by examining, among other things, the underlying causes of sputum smear quality for Ethiopian states such as Tigray, Amahira, and Oromia. However, becaus…
Artificial Intelligence (1 work) · Computer Science (1 work) · COVID-19 diagnosis using AI (1 work) · Digital Imaging for Blood Diseases (1 work) · Feature extraction (1 work) · Image Processing Techniques and Applications (1 work) · Medicine (1 work) · Pathology (1 work) · Sputum (1 work) · Support vector machine (1 work)