基于改进U-Net算法(融入注意力机制)的甲状腺结节分割系统python源码+h5模型.zip （43个子文件） 
HAAU-Net 
test.jpg 383KB Loss_acc_IOU_channel_best.jpg 110KB
aau_gradio_demo_channel.py 10KB Loss_acc_IOU.jpg 112KB aau_gradio_demo_spatial.py 10KB breast-segmentation-with-attention.py 13KB predict_mask.jpg 13KB AttentionCustomUNet.h5 78MB tfre_aau.py 14KB predict.py 10KB unet fold3 log 
log.txt 0B events.out.tfevents.1717489428.ai-ubuntu.2991222.0 17KB fold0 log events.out.tfevents.1717483275.ai-ubuntu.2987452.0 40B events.out.tfevents.1717481623.ai-ubuntu.2985630.0 10KB log.txt 0B fold1 log log.txt 0B events.out.tfevents.1717483288.ai-ubuntu.2987473.0 14KB fold4 log events.out.tfevents.1717492883.ai-ubuntu.2991815.0 10KB log.txt 0B fold2 log events.out.tfevents.1717485614.ai-ubuntu.2988481.0 17KB log.txt 0B aau_gradio_demo_color.py 9KB AAU-net-channel.h5 27.06MB AAU-net-spatial.h5 39.01MB Loss_acc_IOU_channel.jpg 113KB predict_mask_color.jpg 22KB tfre_aau_channel.py 13KB tfre_aau_spatial.py 13KB AAU-net.h5 39.01MB breast-segmentation-with-attention.ipynb 72.82MB Loss_acc_IOU_spatial.jpg 115KB unet (2) unet fold3 log log.txt 0B events.out.tfevents.1717489428.ai-ubuntu.2991222.0 17KB fold0 log events.out.tfevents.1717483275.ai-ubuntu.2987452.0 40B events.out.tfevents.1717481623.ai-ubuntu.2985630.0 10KB log.txt 0B fold1 log log.txt 0B events.out.tfevents.1717483288.ai-ubuntu.2987473.0 14KB fold4 log events.out.tfevents.1717492883.ai-ubuntu.2991815.0 10KB log.txt 0B fold2 log events.out.tfevents.1717485614.ai-ubuntu.2988481.0 17KB log.txt 0B aau_gradio_demo.py 10KB资源评论
