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• W3046284239 abstract "This fragment offering the obtained results ofthe input dataset, flow/system model, image pre-processing techniques, image feature extraction technique, machine learning, and performance evaluation metrics. The primary goal is to be classifying the breast cancer from the huge medical database based on the density level then the severity level has been observed like normal, moderate and severe. In order to identify the non-cancerous and cancerous image, we used texture and edge based segmentation approach" @default.
• W3046284239 created "2020-08-07" @default.
• W3046284239 creator A5086012420 @default.
• W3046284239 date "2020-07-01" @default.
• W3046284239 modified "2023-09-23" @default.
• W3046284239 title "Outcomes: Development and Execution – Hybrid Segmentation and Mammogram Classification for Detection and Prevention of Cancer" @default.
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• W3046284239 hasPublicationYear "2020" @default.
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