Total runs:
9.2K
Run Growth:
-2.5K
Growth Rate:
-27.10%
Sponsored by
Vmake Labs Video Enhancer
1aurent / resnet50.tiatoolbox-pcam
Model's Last Updated: 2023年11月7日
image-classification
Introduction of resnet50.tiatoolbox-pcam
Model Details of resnet50.tiatoolbox-pcam
Model card for resnet50.tiatoolbox-pcam
A ResNet50 image classification model.
Trained by
Tissue Image Analytics (TIA) Centre
on "pcam" histology patches.
Model Details
- Model Type: Image classification / Feature backbone
-
Model Stats:
- Params (M): 23.6
- Image size: 96 x 96 x 3
- Dataset : Patch Camelyon (PCam)
- Original: https://github.com/TissueImageAnalytics/tiatoolbox
- License : Creative Commons Zero v1.0 Universal
Model Usage
Image Classification
from urllib.request import urlopen
from PIL import Image
import timm
# get example histology image
img = Image.open(
urlopen(
"https://github.com/owkin/HistoSSLscaling/raw/main/assets/example.tif"
)
)
# load model from the hub
model = timm.create_model(
model_name="hf-hub:1aurent/resnet50.tiatoolbox-pcam",
pretrained=True,
).eval()
# get model specific transforms (normalization, resize)
data_config = timm.data.resolve_model_data_config(model)
transforms = timm.data.create_transform(**data_config, is_training=False)
data = transforms(img).unsqueeze(0) # input is a (batch_size, num_channels, img_size, img_size) shaped tensor
output = model(data) # output is a (batch_size, num_features) shaped tensor
Image Embeddings
from urllib.request import urlopen
from PIL import Image
import timm
# get example histology image
img = Image.open(
urlopen(
"https://github.com/owkin/HistoSSLscaling/raw/main/assets/example.tif"
)
)
# load model from the hub
model = timm.create_model(
model_name="hf-hub:1aurent/resnet50.tiatoolbox-pcam",
pretrained=True,
num_classes=0,
).eval()
# get model specific transforms (normalization, resize)
data_config = timm.data.resolve_model_data_config(model)
transforms = timm.data.create_transform(**data_config, is_training=False)
data = transforms(img).unsqueeze(0) # input is a (batch_size, num_channels, img_size, img_size) shaped tensor
output = model(data) # output is a (batch_size, num_features) shaped tensor
Citation
@article{Pocock2022,
author = {Pocock, Johnathan and Graham, Simon and Vu, Quoc Dang and Jahanifar, Mostafa and Deshpande, Srijay and Hadjigeorghiou, Giorgos and Shephard, Adam and Bashir, Raja Muhammad Saad and Bilal, Mohsin and Lu, Wenqi and Epstein, David and Minhas, Fayyaz and Rajpoot, Nasir M and Raza, Shan E Ahmed},
doi = {10.1038/s43856-022-00186-5},
issn = {2730-664X},
journal = {Communications Medicine},
month = {sep},
number = {1},
pages = {120},
publisher = {Springer US},
title = {{TIAToolbox as an end-to-end library for advanced tissue image analytics}},
url = {https://www.nature.com/articles/s43856-022-00186-5},
volume = {2},
year = {2022}
}
Runs of 1aurent resnet50.tiatoolbox-pcam on huggingface.co
4
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About resnet50.tiatoolbox-pcam huggingface.co Model
Url of resnet50.tiatoolbox-pcam
resnet50.tiatoolbox-pcam huggingface.co Url
Provider of resnet50.tiatoolbox-pcam huggingface.co
Other API from 1aurent
Updated:2023年11月27日
Total runs:
2.3K
Run Growth:
1.1K
Growth Rate:
45.68%
Total runs:
1.8K
Run Growth:
1.4K
Growth Rate:
78.98%
Total runs:
1.4K
Run Growth:
751
Growth Rate:
52.55%
Total runs:
1.1K
Run Growth:
408
Growth Rate:
35.95%
Total runs:
1.0K
Run Growth:
-123
Growth Rate:
-12.19%
Total runs:
970
Run Growth:
261
Growth Rate:
25.27%
Total runs:
863
Run Growth:
-680
Growth Rate:
-83.23%
Total runs:
707
Run Growth:
45
Growth Rate:
6.73%
Total runs:
629
Run Growth:
188
Growth Rate:
29.89%
Total runs:
473
Run Growth:
409
Growth Rate:
87.39%
Total runs:
415
Run Growth:
-376
Growth Rate:
-92.84%
Total runs:
306
Run Growth:
272
Growth Rate:
88.89%
Total runs:
301
Run Growth:
-268
Growth Rate:
-90.85%
Total runs:
169
Run Growth:
103
Growth Rate:
60.95%
Total runs:
129
Run Growth:
-3
Growth Rate:
-2.48%
Total runs:
106
Run Growth:
34
Growth Rate:
32.08%
Total runs:
99
Run Growth:
67
Growth Rate:
67.68%
Total runs:
80
Run Growth:
-73
Growth Rate:
-91.25%
Total runs:
80
Run Growth:
-113
Growth Rate:
-141.25%
Total runs:
65
Run Growth:
41
Growth Rate:
63.08%
Total runs:
61
Run Growth:
10
Growth Rate:
16.67%
Total runs:
51
Run Growth:
39
Growth Rate:
76.47%
Total runs:
44
Run Growth:
-161
Growth Rate:
-365.91%
Total runs:
37
Run Growth:
13
Growth Rate:
35.14%
Total runs:
36
Run Growth:
30
Growth Rate:
83.33%
Total runs:
36
Run Growth:
27
Growth Rate:
75.00%
Total runs:
35
Run Growth:
13
Growth Rate:
36.11%
Total runs:
35
Run Growth:
2
Growth Rate:
5.71%
Total runs:
33
Run Growth:
18
Growth Rate:
54.55%
Total runs:
31
Run Growth:
16
Growth Rate:
51.61%
Total runs:
28
Run Growth:
5
Growth Rate:
17.86%
Total runs:
28
Run Growth:
-2
Growth Rate:
-7.14%
Total runs:
25
Run Growth:
-5
Growth Rate:
-20.00%
Total runs:
24
Run Growth:
11
Growth Rate:
45.83%
Total runs:
23
Run Growth:
19
Growth Rate:
82.61%
Total runs:
22
Run Growth:
-24
Growth Rate:
-88.89%
Total runs:
21
Run Growth:
3
Growth Rate:
14.29%
Total runs:
20
Run Growth:
0
Growth Rate:
0.00%
Total runs:
20
Run Growth:
2
Growth Rate:
10.00%
Total runs:
19
Run Growth:
-13
Growth Rate:
-68.42%
Total runs:
18
Run Growth:
10
Growth Rate:
55.56%
Total runs:
18
Run Growth:
-5
Growth Rate:
-27.78%
Total runs:
17
Run Growth:
6
Growth Rate:
35.29%
Total runs:
17
Run Growth:
9
Growth Rate:
52.94%
Total runs:
16
Run Growth:
-29
Growth Rate:
-181.25%
Total runs:
15
Run Growth:
4
Growth Rate:
26.67%
Total runs:
14
Run Growth:
2
Growth Rate:
14.29%
Total runs:
13
Run Growth:
-8
Growth Rate:
-61.54%
Total runs:
13
Run Growth:
11
Growth Rate:
84.62%
Total runs:
13
Run Growth:
-8
Growth Rate:
-61.54%
Total runs:
12
Run Growth:
-1
Growth Rate:
-8.33%
Total runs:
12
Run Growth:
1
Growth Rate:
8.33%
Total runs:
11
Run Growth:
6
Growth Rate:
54.55%
Total runs:
11
Run Growth:
-4
Growth Rate:
-36.36%
Total runs:
10
Run Growth:
-44
Growth Rate:
-440.00%
Total runs:
9
Run Growth:
-5
Growth Rate:
-55.56%
Total runs:
8
Run Growth:
-4
Growth Rate:
-50.00%
Total runs:
8
Run Growth:
-5
Growth Rate:
-62.50%
Total runs:
7
Run Growth:
4
Growth Rate:
57.14%
Total runs:
7
Run Growth:
-10
Growth Rate:
-142.86%
Total runs:
7
Run Growth:
-10
Growth Rate:
-142.86%
Total runs:
6
Run Growth:
-6
Growth Rate:
-100.00%
Total runs:
6
Run Growth:
-311
Growth Rate:
-5183.33%
Total runs:
6
Run Growth:
-7
Growth Rate:
-116.67%
Total runs:
4
Run Growth:
2
Growth Rate:
50.00%
Total runs:
4
Run Growth:
1
Growth Rate:
25.00%
Total runs:
4
Run Growth:
0
Growth Rate:
0.00%
Total runs:
4
Run Growth:
-4
Growth Rate:
-100.00%
Total runs:
3
Run Growth:
-2
Growth Rate:
-66.67%
Total runs:
3
Run Growth:
0
Growth Rate:
0.00%
Total runs:
3
Run Growth:
-3
Growth Rate:
-100.00%
Total runs:
3
Run Growth:
-1
Growth Rate:
-33.33%
Total runs:
3
Run Growth:
0
Growth Rate:
0.00%
Total runs:
2
Run Growth:
-1
Growth Rate:
-50.00%
Total runs:
1
Run Growth:
-2
Growth Rate:
-200.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
-7
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%