https://github.com/pavankumarshridhar31/pavankumarshridhar31-deep-learning-prognostics-unraveling-uterine-cancer-outcomes-with-fnn-models

Exploring uterine cancer intricacies, our project employs FNN models for predictive insights into endometrial carcinoma, the most common uterine cancer. Despite uncertain causes, our models shed light on uncontrolled growth and tumor formation, contributing a data-driven perspective to prognostic predictions.
https://github.com/pavankumarshridhar31/pavankumarshridhar31-deep-learning-prognostics-unraveling-uterine-cancer-outcomes-with-fnn-models

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Exploring uterine cancer intricacies, our project employs FNN models for predictive insights into endometrial carcinoma, the most common uterine cancer. Despite uncertain causes, our models shed light on uncontrolled growth and tumor formation, contributing a data-driven perspective to prognostic predictions.

• Host: GitHub
• URL: https://github.com/pavankumarshridhar31/pavankumarshridhar31-deep-learning-prognostics-unraveling-uterine-cancer-outcomes-with-fnn-models
• Owner: Pavankumarshridhar31
• Created: 2024-01-23T04:38:14.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-02-05T06:00:15.000Z (11 months ago)
• Last Synced: 2024-02-05T07:23:32.936Z (11 months ago)
• Language: Jupyter Notebook
• Size: 962 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Deep-Learning-Prognostics-Unraveling-Uterine-Cancer-Outcomes-with-FNN-Models

Exploring uterine cancer intricacies, this  project employs FNN models for predictive insights into endometrial carcinoma, the most common uterine cancer. Despite uncertain causes, our models shed light on uncontrolled growth and tumor formation, contributing a data-driven perspective to prognostic predictions.

snapshot of the image portraying a uterus affected by cancer.

![endometrial-cancer](https://github.com/Pavankumarshridhar31/Pavankumarshridhar31-Deep-Learning-Prognostics-Unraveling-Uterine-Cancer-Outcomes-with-FNN-Models/assets/154114014/d6bfdad7-7aba-44e6-bae0-de8c5a3f9765)