Table 10.
Quality Assessment Results (I).
| Ref. No | Study Type | Dataset | GPU | Scoring | Total | ||||
|---|---|---|---|---|---|---|---|---|---|
| (a) | (b) | (c) | (d) | (e) | |||||
| [14] | Experiment | Kaggle | No | 1 | 0 | 0.5 | 1 | 2.5 | 5 |
| [23] | Experiment | Kaggle | NVIDIA GeForce |
1 | 1 | 1 | 1 | 2.5 | 6.5 |
| [24] | Experiment | Collect 6 billion records from 301 hospitals |
No | 1 | 1 | 1 | 1 | 2.5 | 6.5 |
| [25] | Experiment | Collect 447 images from three different \clinical departments |
2 Tesla K40 GPUs and 64G of RAM |
1 | 1 | 1 | 1 | 2.5 | 6.5 |
| [26] | Experiment | Kaggle | NVIDIA Tesla K40 |
1 | 0 | 1 | 1 | 2.5 | 5.5 |
| [27] | Experiment | Nine medical records were used |
NVIDIA Tesla K40 GPU and 64 GB RAM |
1 | 1 | 1 | 1 | 2.5 | 6.5 |
| [28] | Experiment | STARE | No | 1 | 0 | 0.5 | 1 | 2.5 | 5 |
| [29] | Experiment | Fundus image dataset collected from Chinese population |
NVIDIA Tesla k40 |
1 | 0 | 0.5 | 1 | 2.5 | 5 |
| [30] | Experiment | OCT images provided by Wenzhou Medical university |
GeForce GTX Titan X and 12 GB RAM |
1 | 0 | 1 | 1 | 2.5 | 5.5 |
| [31] | Experiment | Collect 9939 posterior photos from jichi Medical University |
Titan X with 12 GB RAM |
1 | 0 | 0.5 | 1 | 2.5 | 5 |
| [32] | Case study | 76,370 fundus images from Singapore integrated DR program |
No | 1 | 0 | 0.5 | 1 | 2 | 4.5 |
| [33] | Experiment | Kaggle, Messidor, DIARETDR1 |
4 NVIDIA GeForce Titan X |
1 | 1 | 1 | 1 | 2 | 6 |
| [34] | Experiment | No | 556 images from china west hospital |
1 | 1 | 0.5 | 0 | 2 | 4.5 |
| [35] | Experiment | Obtained from SiDRP |
No | 1 | 0 | 0 | 0 | 1 | 2 |
| [36] | Experiment | Kaggle, Drive, Messidor |
NVIDIA Tesla k20 |
1 | 0 | 0 | 1 | 1.5 | 3.5 |
| [37] | Experiment | 30,244 fundus images from Beijing Tongren Eye center |
NVIDIA Tesla P40 of 24 GB RAM |
1 | 0 | 0.5 | 0 | 0.25 | 1.75 |
| [38] | Model | 16,789 fundus images |
No | 1 | 0 | 0.5 | 0 | 0.25 | 1.75 |
| [39] | Experiment | 25,326 fundus images from screening program in Thailand |
No | 1 | 0 | 1 | 1 | 1.5 | 4.5 |
| [40] | Case Study | Messidor 2 | No | 1 | 1 | 1 | 1 | 1.5 | 5.5 |
| [41] | Experiment | Kaggle | No | 1 | 0 | 1 | 1 | 1.5 | 4.5 |
| [42] | Experiment | IDRiD | Tesla p100 | 1 | 0 | 1 | 1 | 1.5 | 4.5 |
| [43] | Experiment | EyePACS, Messidor-2, 19,230 images from DM population |
No | 1 | 1 | 1 | 1 | 2.5 | 6.5 |
| [44] | Experiment | Obtained 132 images from Saneikai Tsukazaki Hospital and Tokushima University Hospital |
No | 1 | 1 | 1 | 1 | 2 | 6 |
| [45] | Experiment | Kaggle | NVIDIA GTX980Ti, mazon EC2 instance containing NVIDIA |
1 | 0 | 1 | 1 | 1.5 | 4.5 |
| [46] | Experiment | 13,767 images obtained from ophthalmology, endocrinology and physical examination centers |
NVIDIA TeslaK40 |
1 | 1 | 1 | 1 | 2.5 | 6.5 |
| [47] | Experiment | Modified Hopfield NN |
No | 1 | 0 | 0.5 | 1 | 2.5 | 5 |