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bigmed@bigmed
commited on
Commit
·
5acc242
1
Parent(s):
8ef1fbf
moved the rule of thumb to title
Browse files
app.py
CHANGED
@@ -104,9 +104,9 @@ def Final_Compute_regression_results_Sample(Model, batch_sampler,num_head=2):
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# print('Vertical cup to disc ratio:')
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# print(ratios.vcdr)
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if ratios.vcdr < 0.6:
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glaucoma = 'None
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else:
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glaucoma = 'May be there is a risk of Glaucoma
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# print('Galucoma:')
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@@ -143,7 +143,7 @@ def infer(img):
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title = "Glaucoma Detection in Retinal Fundus Images"
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description = "The method detects disc and cup in the retinal image, then it computes the Vertical cup to disc ratio"
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outputs = [gr.Textbox(label="Vertical cup to disc ratio:"), gr.Textbox(label="predicted diagnosis"), gr.Image(label='labeled image'), gr.Image(label='zoomed in')]
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with gr.Blocks(css='#title {text-align : center;} ') as demo:
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with gr.Row():
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gr.Markdown(
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@@ -164,7 +164,7 @@ with gr.Blocks(css='#title {text-align : center;} ') as demo:
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with gr.Column():
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with gr.Row():
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text1 = gr.Textbox(label="Vertical Cup to Disc Ratio:")
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-
text2 = gr.Textbox(label="Predicted Diagnosis")
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img = gr.Image(label='Detected disc and cup')
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zoom = gr.Image(label='Croppped')
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# print('Vertical cup to disc ratio:')
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# print(ratios.vcdr)
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if ratios.vcdr < 0.6:
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glaucoma = 'None'
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else:
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glaucoma = 'May be there is a risk of Glaucoma'
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# print('Galucoma:')
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title = "Glaucoma Detection in Retinal Fundus Images"
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description = "The method detects disc and cup in the retinal image, then it computes the Vertical cup to disc ratio"
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+
outputs = [gr.Textbox(label="Vertical cup to disc ratio:"), gr.Textbox(label="predicted diagnosis (Rule of thumb ~0.6 or greater is suspicious)"), gr.Image(label='labeled image'), gr.Image(label='zoomed in')]
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with gr.Blocks(css='#title {text-align : center;} ') as demo:
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with gr.Row():
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gr.Markdown(
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with gr.Column():
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with gr.Row():
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text1 = gr.Textbox(label="Vertical Cup to Disc Ratio:")
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text2 = gr.Textbox(label="Predicted Diagnosis (Rule of thumb ~0.6 or greater is suspicious)")
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img = gr.Image(label='Detected disc and cup')
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zoom = gr.Image(label='Croppped')
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