Table 3.
Detail of software used for LV segmentation.
| Study | Software |
|---|---|
| [57] | TensorFlow |
| [75] | TensorFlow |
| [63] | Not reported |
| [66] | Keras |
| [38] | MATLAB R2015b |
| [69] | Café |
| [82] | Keras |
| [83] | TensorFlow |
| [84] | TensorFlow |
| [85] | Café |
| [91] | TensorFlow |
| [81] | Keras |
| [120] | MATLAB 2019a |
| [98] | TensorFlow |
| [92] | Python/Keras |
| [100] | TensorFlow r1.12 and Keras 2.2.4. |
| [86] | Keras |
| [77] | MATLAB 2013a |
| [99] | Python with Keras-TensorFlow |
| [78] | TensorFlow/Ubuntu 18.04 |
| [88] | Pytorch/Ubuntu18.04 |
| [101] | Keras |
| [102] | Keras |
| [80] | MATLAB R2020 |
| [89] | Keras |
| [106] | TensorFlow |
| [111] | Keras |
| [115] | TensorFlow |
| [107] | MATLAB |
| [108] | MATLAB R 2016b |
| [64] | TensorFlow |
| [105] | TensorFlow |
| [121] | TensorFlow |
| [116] | MatConvNet, an open-source library in MATLAB |
| [117] | TensorFlow |
| [118] | Pytorch |
| [113] | TensorFlow |
| [114] | TensorFlow |
| [122] | Anaconda 5.0.1 (python 3.5), TensorFlow, and Tensorlayer environment |
| [119] | PyCharm |