文件名称:u-noise:U噪声的官方PyTorch代码
文件大小:3.37MB
文件格式:ZIP
更新时间:2024-06-16 15:21:33
U噪声-PyTorch实施 Teddy Koker,Fatemehsadat Mireshghallah,Tom Titcombe,Georgios Kaissis 图像+遮罩 U噪声大 遮挡敏感度 研究生院 下载数据/预训练模型 ./download.sh 这将下载以下文件: data ├── bounding_boxes.npy # bounding boxes of pancreas (unused) ├── images.npy # scans ├── labels.npy # label (whether contains pancreas) └── masks.npy # ground truth pancreas mask models ├── unoise_small.ckpt # small U-
【文件预览】:
u-noise-master
----figures()
--------figure1.eps(35KB)
--------figure2.png(40KB)
--------figure2.eps(42KB)
--------figure1.png(66KB)
----src()
--------data.py(3KB)
--------utils.py(293B)
--------train_util.py(3KB)
--------unet.py(2KB)
--------make_figures.py(7KB)
--------make_visualizations.py(9KB)
--------train_noise.py(5KB)
----visualizations()
--------threshold_0.0.png(760B)
--------unoise_large_1.png(96KB)
--------threshold_0.2.png(10KB)
--------occlusion_2.png(104KB)
--------threshold_1.0.png(73KB)
--------occlusion_3.png(81KB)
--------plain_3.png(74KB)
--------plain_0.png(73KB)
--------unoise_small_2.png(116KB)
--------plain_2.png(93KB)
--------grad_cam_1.png(92KB)
--------unoise_large_2.png(104KB)
--------unoise_small_1.png(113KB)
--------original_2.png(84KB)
--------threshold_0.8.png(74KB)
--------noised_0.png(192KB)
--------threshold_0.4.png(33KB)
--------noised_1.png(192KB)
--------threshold_0.6.png(60KB)
--------occlusion_1.png(94KB)
--------noised_2.png(192KB)
--------grad_cam_2.png(101KB)
--------plain_1.png(86KB)
--------original_3.png(65KB)
--------original_0.png(64KB)
--------threshold_0.1.png(7KB)
--------threshold_0.3.png(18KB)
--------threshold_0.5.png(46KB)
--------threshold_0.9.png(74KB)
--------unoise_large_3.png(82KB)
--------grad_cam_0.png(82KB)
--------unoise_large_0.png(81KB)
--------unoise_small_3.png(97KB)
--------original_1.png(78KB)
--------unoise_small_0.png(95KB)
--------noised_3.png(192KB)
--------threshold_0.7.png(72KB)
--------grad_cam_3.png(85KB)
--------occlusion_0.png(81KB)
----requirements.txt(93B)
----download.sh(1KB)
----README.md(5KB)
----data()
--------results.pickle(5KB)
----.gitignore(2KB)