Update README.md

README.md

@@ -9,17 +9,17 @@ tags:
 # Kidney-CT-Abnormality
 
 <!-- Provide a quick summary of the dataset. -->
-This Kidney-CT_Abnormality dataset consists of kidney CT scans with abnormality label.
-The original dataset is available at https://zenodo.org/records/8043408.
+This Kidney-CT-Abnormality dataset consists of kidney CT scans with abnormality label.
 
 ## Dataset Details
 
 ### Dataset Description
 
 <!-- Provide a longer summary of what this dataset is. -->
+This Kidney-CT-Abnormality dataset comprises a comprehensive collection CT scans focusing on kidney CT abnormality, which can serve as a resource for researchers with this field.
+Contained within this dataset are 986 .mha (medical high-resolution image) files, which are all 3D medical iamges. 3D images means multiple layers are included in each image, which can be beneficial for precise classification.
+
 
-The kidney CT scans contained in this dataset are .mha (medical high-resolution image) files. 
-In total, there are 986 CT scans, and each contains multiple layers.
 A .json file is also included, illustrating the abnormality status of each image.
 
 Note that this dataset was reconstructed from “Dataset for: Kidney abnormality segmentation in thorax-abdomen CT scans” (https://zenodo.org/records/8014290), to fit the 2023 automated universal classification challenges (AUC2023) as stated by the authors.
@@ -45,6 +45,8 @@ This dataset is intended for kidney abnormality classification.
 <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
 
 
+## Dataset Initial Processing
+
 
 ## Dataset Structure
 
@@ -94,6 +96,9 @@ The original dataset contains “215 thoraxabdomen CT scans with segmentations o
 <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
 The CT scan image file names contain the study ID, indicating the differences in scans. These ids are anonymous and don’t contain any other personal information.
 
+## Some helper functions for further utilization
+
+
 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
@@ -105,7 +110,7 @@ The CT scan image file names contain the study ID, indicating the differences in
 
 Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 Datasets: