Table 2 The detailed information about patients and image of various diseases in different data sets
From: A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI images
Cases /Image size | Training | Validation | Test | Total |
|---|---|---|---|---|
Muscular disease | ||||
DMD | 71/480 | 26/120 | 20/130 | 117/730 |
BMD | 9/76 | 5/40 | 17/98 | 31/214 |
LGMD2A | 20/86 | 8/32 | 2/8 | 30/126 |
LGMD2B | 12/38 | 8/32 | 2/8 | 22/78 |
LGMD2C | 2/8 | 0 | 0 | 2/8 |
LGMD2D | 15/56 | 6/24 | 3/12 | 24/92 |
LGMD2E | 8/32 | 3/12 | 4/16 | 15/60 |
LGMD2I | 10/64 | 5/20 | 2/12 | 17/96 |
Bethlem myopathy | 4/16 | 1/4 | 1/4 | 6/24 |
FSHMD | 8/32 | 2/8 | 2/8 | 12/48 |
Congenital myopathies | 8/32 | 2/8 | 2/8 | 12/48 |
GNE myopathy | 5/40 | 3/18 | 0 | 8/58 |
MADD | 15/58 | 6/24 | 5/20 | 26/102 |
Myositis | 18/144 | 15/92 | 24/196 | 57/432 |
Neurogenic | 28/244 | 7/48 | 18/128 | 53/420 |
Total | 233/1406 | 97/482 | 102/648 | 432/2536 |