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- # Information Extraction from Breast Cancer Pathology Reports
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- <!-- TOC -->
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- - [Instruction Navigation](#information-extraction-from-breast-cancer-pathology-reports)
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- - [Web System Application](#web-system-application)
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- - [Model and Project Design](#model-and-project-design)
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-
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- <!-- /TOC -->
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- ## Web System Application
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- We developed a web system application for users to test our proposed pipilne for predicting histopathology reports. Users can interact with the platform in 2 ways: 1) Input an excel/csv spreadsheet with a column with the biopsy diagnosis (Part A,B or C). 2) Input a single biopsy diagnosis. An example of our Web System is illustraded bellow:
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- <table border=1>
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- <tr align='center' >
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- <td><img src="https://github.com/thiagosantos1/BreastPathologyClassificationSystem/blob/master/app/imgs/app_1.png" width="500" title="HCS App"></td>
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- <td><img src="https://github.com/thiagosantos1/BreastPathologyClassificationSystem/blob/master/app/imgs/app_2.png" width="500" title="HCS App"></td>
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- </tr>
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- </table>
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-
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- ## Model and Project Design
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- <table border=1>
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- <tr align='center' >
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- <td><img src="https://github.com/thiagosantos1/BreastPathologyClassificationSystem/blob/master/app/imgs/pipeline.png" width="500" title="HCS App"></td>
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- <td><img src="https://github.com/thiagosantos1/BreastPathologyClassificationSystem/blob/master/app/imgs/hybrid_system.png" width="400" title="HCS App"></td>
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- </tr>
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- </table>
 
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+ ---
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+ title: Hierarchical Classification System for Breast Cancer
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+ emoji: 🤗
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+ colorFrom: blue
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+ colorTo: orange
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+ sdk: stremlit
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+ app_file: app.py
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+ pinned: false
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+ ---