Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
Size:
1K - 10K
ArXiv:
License:
matejpekar
commited on
Update README.md
Browse files
README.md
CHANGED
@@ -90,7 +90,9 @@ paperswithcode_id: pannuke
|
|
90 |
|
91 |
## Description
|
92 |
|
93 |
-
PanNuke is a semi
|
|
|
|
|
94 |
|
95 |
## Dataset Structure
|
96 |
|
|
|
90 |
|
91 |
## Description
|
92 |
|
93 |
+
PanNuke is a semi-automatically generated dataset for nuclei instance segmentation and classification, providing comprehensive nuclei annotations across 19 tissue types and 5 distinct cell categories. The dataset includes a total of **189,744 labeled nuclei**, each accompanied by an instance segmentation mask, and contains **7,901 images**, each sized **256×256 pixels**. The images were captured at **x40 magnification** with a resolution of **0.25 µm/pixel**. The dataset is highly imbalanced, with the **"Dead" nuclei category** being particularly underrepresented.
|
94 |
+
|
95 |
+
Please note that the dataset was created by extracting patches from whole-slide images (WSIs). As a result, some nuclei located at the edges of patches may be cropped, with fewer than 10 visible pixels in certain cases.
|
96 |
|
97 |
## Dataset Structure
|
98 |
|