Update README.md

README.md

@@ -41,13 +41,10 @@ Once the model demonstrates satisfactory performance, it can be deployed for rea
 - **Language(s):** Python
 - **Finetuned from model:** ResNet50V2
 
-### Model Sources [optional]
+### Model Sources
 
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2
+- **Paper:** [A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2
 ](https://pubmed.ncbi.nlm.nih.gov/32501424/)
-- **Demo [optional]:** [More Information Needed]
 
 ## Uses
 This tool is used to assist medical professional in cross-validation of the diagnosis 
@@ -216,7 +213,7 @@ Evaluation metrics used are recall and pricision
 
 ### Results
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/652917fd8297110ffe4e04ba/cml6Bd82tv3Rpu0bxBwQq.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/652917fd8297110ffe4e04ba/XEy2GE9mMMjZRoHT-pp_D.png)
 
 #### Summary