# Performance assessment of Deep Learning procedures on Malaria dataset

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/performance-assessment-of-deep-learning-procedures-on-malaria-dataset/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shruti Sinha,Udit Srivastava,Vikas Dhiman,Akhilan P.S,Sashikala Mishra |
| Citations | 19 |
| DOI | 10.18196/jrc.2145 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://journal.umy.ac.id/index.php/jrc/article/download/8662/5514 |
| OpenAlex ID | https://openalex.org/W3083103782 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Vikas Dhiman](https://scholariq.org/researchers/vikas-dhiman/)

## Paper journal

- [Journal of Robotics and Control (JRC)](https://scholariq.org/journals/journal-of-robotics-and-control-jrc/)

## Paper primary topic

- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)

## Paper topics

- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Machine Learning in Bioinformatics](https://scholariq.org/topics/machine-learning-in-bioinformatics/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.