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I tried to calculate FROC using your resnet18_base.ckpt, and I got:
**Avg FP = 0.25
Sensitivity = 0.6061946902654868
Avg FP = 0.5
Sensitivity = 0.6769911504424779
Avg FP = 1
Sensitivity …
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Hi,
I have seen the CLAM was trained and Evaluated over Camelyon16 and 17 challenge. Can you give more insight on how the data was combined, what was the number of ITC, Macro, Micro and Negative in…
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I am facing some problem with the annotation of CAMELYON16 test data. I use the code provided to generate annotation mask but when I try to count the number of tumors inside the mask, it returns only …
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Hello,I want to replicate your experiential ,but no function **_plot_confusion_matrix_** in the data_utils , can you help me?
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Thank you for open-sourcing the code of the paper. While I am trying to use your program to segment the CAMELYON17 dataset, I noticed that the stitches of a lot of slides contain large amounts of arti…
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### Hello !
I downloaded for the Camelyon17 dataset your trained model from CodaLab (ERM and seed0). I have installed all packages correctly according to your readme and load the model as follows:
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I try
```python
import multiresolutionimageinterface as mir
reader = mir.MultiResolutionImageReader()
mr_image = reader.open('camelyon17/centre_0/patient_000_node_0.tif')
```
there is no error …
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每個xml所產生的mask.tif經過computeEvaluationMask皆只有返回一個腫瘤
ex . test_004.xml具有3個腫瘤註釋,但是生成的mask tif文件返回1個腫瘤
xml to tif
reader = mir.MultiResolutionImageReader()
mr_image = reader.open('../images/test_021.t…
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您好,通过阅读您的代码,有一些小问题想请教。
1.wsi_classification.py中,使用的是tumor和normal进行分类。但是我看原挑战中的描述为:
First Evaluation: Participants need to provide a single CSV file, with the first column corresponding to the name o…