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Breast-Mammography-Detection

Image Classification

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RsGoksel commited on Sep 29, 2023

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 ## Introduction:
-The Breast Tissue ROI Object Detection Model is a specialized deep learning model designed to identify and locate regions of interest (ROIs) within mammographic images. This model is part of the Hugging Face Model Zoo and has been developed to assist in the early detection of breast cancer, a critical medical application that can significantly improve patient outcomes.
 ### 1. Purpose
 The primary purpose of the Breast Tissue ROI Object Detection Model is to accurately and efficiently identify regions of interest in mammographic images. These regions typically contain suspicious lesions, calcifications, or abnormalities that require further examination to determine the presence of breast cancer.

 ## Introduction:
+The Breast Tissue ROI Object Detection Model is designed to locate regions of interest (ROIs) within mammographic images.
 ### 1. Purpose
 The primary purpose of the Breast Tissue ROI Object Detection Model is to accurately and efficiently identify regions of interest in mammographic images. These regions typically contain suspicious lesions, calcifications, or abnormalities that require further examination to determine the presence of breast cancer.