Research Article
Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans
Table 3
Dataset attributes’ description.
| | Attribute | Description |
| 1 | Patient ID | ID | 2 | Patient num | Count | 3 | Age | Age | 4 | Gender | Sex | 5 | Test area | (Chest/abdomen/pelvis) | 6 | Date | Year | 7 | Taking contrast | Contrast material | 8 | Clinical data | Historical data | 9 | Symptoms | Symptoms before test | 10 | Diagnosing test | Full diagnosing | 11 | Diagnosing right kidney | Diagnosing RK | 12 | Injury range right kidney | Injury range in details | 13 | Segmentation injury in right kidney | Location injury in RK | 14 | Diagnosing left kidney | Diagnosing LK | 15 | Injury range left kidney | Injury range in details | 16 | Segmentation injury in left kidney | Location injury in LK | 17 | Stage | Out of IV | 18 | Situation | Kidney status | 19 | Tumor type | If malignant or benign | 20 | Tumor class | Tumor subtype |
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