Update README.md

README.md

@@ -32,7 +32,7 @@ This [repository](https://github.com/PathologyDataScience/BCSS) contains the nec
 
 - Amgad, Mohamed, et al. "NuCLS: A Scalable Crowdsourcing Approach and Dataset for Nucleus Classification and Segmentation in Breast Cancer." GigaScience, vol. 11, 2022, https://doi.org/10.1093/gigascience/giac037. Accessed 18 Mar. 2024.
 
-![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/resolve/main/fig1.PNG)
+![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/resolve/main/Images/fig1.PNG)
 
 
 ## Accessing the Data
@@ -71,7 +71,7 @@ A single dataset entry contains the following details:
 
 - `mask_image`: A mask image with each nucleus labeled. Class labels are encoded in the first channel. The second and third channels are used to create a unique identifier for each nucleus. The field of view (gray area) is marked to delineate the annotated region.
 
-  [This file](https://drive.google.com/file/d/1vT6ZG1s3IQkB9suI21qgzF2N5zM8z0qd/view?usp=sharing) contains the nucleus label encoding, including a special 'fov' code encoding the intended annotation region.
+  [This file](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/resolve/main/Images/fig2.png) contains the nucleus label encoding, including a special 'fov' code encoding the intended annotation region.
 
 - `visualization_image`: A visualization image that overlays the RGB and mask images to assist in interpretability.
 
@@ -89,7 +89,7 @@ A single dataset entry contains the following details:
     
     - `coords_x`, `coords_y`: The specific boundary coordinates of the nucleus.
 
-![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/resolve/main/Image%2017-03-2024%20at%2023.54.jpeg)
+![](https://huggingface.co/datasets/minhanhto09/NuCLS_dataset/resolve/main/Images/fig3.jpeg)
 
 ### Data Split
 
@@ -115,7 +115,8 @@ The dataset is divided into the following folds:
 
 - `train_fold_999`: 21 examples
 - `test_fold_999`: 7 examples
-  Note that the debug configuration utilizes these particular folds `train_fold_999` and `test_fold_999` due to their smaller numbers of examples.
+
+Note that the debug configuration utilizes these particular folds `train_fold_999` and `test_fold_999` due to their smaller numbers of examples.
 
 ## Usage Example