Datasets
Models
Downloads: 3
Data:
Image
Specialty:
Radiology
Respiratory Medicine
Medical Imaging Technique:
CT
Medical Imaging Region:
Chest
Lungs
Demographics:
Mixed
Clinical Purpose:
Diagnosis
Task:
Classification
Detection
License:
MIT
Image
Specialty:
Radiology
Respiratory Medicine
Medical Imaging Technique:
CT
Medical Imaging Region:
Chest
Lungs
Demographics:
Mixed
Clinical Purpose:
Diagnosis
Task:
Classification
Detection
License:
MIT
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| a/README.md | b/README.md | ||
|---|---|---|---|
| 1 | ## About Dataset |
1 | ## Chest CT Scans |
| 2 | This dataset can be used to develop machine learning models for lung irregularities |
2 | This dataset can be used to develop machine learning models for lung irregularities |
| 3 | 3 | ||
| 4 | Number of Patients: 500 |
4 | Number of Patients: 500 |
| 5 | 5 | ||
| 6 | Patient Information: Sex, Age, Series, Diagnostics |
6 | Patient Information: Sex, Age, Series, Diagnostics |
| 7 | 7 | ||
| 8 | Medical Images: CT scan images in .jpeg format |
8 | Medical Images: CT scan images in .jpeg format |
| 9 | 9 | ||
| 10 | * Each patient has at least one diagnosed lung diagnostic, including nodules, lesions, or other lung-related issues |
10 | * Each patient has at least one diagnosed lung diagnostic, including nodules, lesions, or other lung-related issues |
| 11 | * NIH Deep Lesion Dataset, CT Medical Images from Kaggle |
11 | * NIH Deep Lesion Dataset, CT Medical Images from Kaggle |