YellowLight021
YellowLight021
[论文复现赛] +nnformer 添加验证精度指标:在ACDC的测试集的测试效果如下表,达到验收指标,dice-Score=0.9178 满足精度要求 0.9188 TIPC运行结果:  运行时间的截图: 
[论文复现赛] +nnformer 添加验证精度指标:在ACDC的测试集的测试效果如下表,达到验收指标,dice-Score=0.9178 满足精度要求 0.9188 TIPC运行结果:  运行时间的截图: 
[论文复现赛] +transUnet 添加验证精度指标:在synapse的测试集的测试效果如下表,达到验收指标,dice-Score=0.7748 满足精度要求 0.7801 TIPC运行果  运行时截图 
nnunet added
this task seems like a 3D detecton problem,but in baseline looks like you use a 2d detection to detect all slices in one image. What about use 3D detection function...
File "E:\myreading\trick\face-detection-tflite\demo.py", line 1, in from fdlite import FaceDetection, FaceDetectionModel File "E:\myreading\trick\face-detection-tflite\fdlite\__init__.py", line 5, in from .face_detection import FaceDetection, FaceDetectionModel # noqa:F401 File "E:\myreading\trick\face-detection-tflite\fdlite\face_detection.py", line 21, in import tensorflow as...