Update README.md

README.md

@@ -17,13 +17,12 @@ This Kidney-CT-Abnormality dataset consists of kidney CT scans with abnormality
 
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 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.
 
+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. A .json file is also included, illustrating the abnormality status of each image.
 
-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.
+Note that, as stated by the authors, 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).
 
+In a nutshell, the Kidney-CT-Abnormality dataset can potentially can serve for the academic and research community, possibly enhancing studies in medical image processing and diagnostic algorithm development, thereby improving understanding of kidney diseases and diagnostic accuracy through technological advancements.
 
 ### Dataset Sources 
 
@@ -43,7 +42,7 @@ This dataset is intended for kidney abnormality classification.
 ### Out-of-Scope Use
 
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+This dataset cannot be utilized for segmentation task since no ground truth data 
 
 ## Dataset Initial Processing