Identification and Classification for Diagnosis of Malaria Disease using Blood Cell Images
Hafiz Muhammad Bilal
- ISSN / E-ISSN
- 2519-7991 / 2521-0122
- DOI
- 10.54692/lgurjcsit.2023.0701417 ↗
- Volume · Issue · Pages
- 7 · 1 · —
- Publisher
- Lahore Garrison University, Lahore
- Article URL
- https://doi.org/10.54692/lgurjcsit.2023.0701417 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
05 Sep 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 05 Sep 2023 | OpenAlex |
Keywords (as given): malaria diagnosis; malaria parasite detection; blood cell images; image classification; support vector machine; color and texture features; automated diagnosis
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Y
Based on the recorded HEC dataset applicable to the article's publication date. Listed as Y in the HEC list for 2023–24.
- Journal
- Lahore Garrison University Research Journal of Computer Science and Information Technology
- Publication date used
- 05 Sep 2023 (OpenAlex publication date)
- Applicable HEC period
- 2023–24 (version 1) · 01 Jul 2023 – 30 Sep 2024
- Category
- Y
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- HJRS 2023-24 page 6729, row 49374
- Verification status
- Verified against source · last verified 23 Sep 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.