Table 1 Breast images from different devices
From: LRSCnet: Local Reference Semantic Code learning for breast tumor classification in ultrasound images
Finding | ALOKA \(\alpha\) 10 | AplioXG | GE LOGIQ E7 | SIEMENS Sequoia 512 |
|---|---|---|---|---|
Number of Cases | Number of Cases | Number of Cases | Number of Cases | |
Benign | 47 | 38 | 47 | 3 |
Malignant | 14 | 6 | 28 | 3 |
Total | 61 | 44 | 75 | 6 |