Reference Type | Journal (article/letter/editorial) |
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Title | An Efficient Method for Breast Mass Segmentation and Classification in Mammographic Images |
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Journal | International Journal of Advanced Computer Science and Applications |
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Authors | Hmida, Marwa | Author |
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Hamrouni, Kamel | Author |
Solaiman, Basel | Author |
Boussetta, Sana | Author |
Year | 2017 | Volume | 8 |
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Publisher | The Science and Information Organization |
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DOI | doi:10.14569/ijacsa.2017.081134Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 10371332 | Long-form Identifier | mindat:1:5:10371332:0 |
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GUID | 0 |
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Full Reference | Hmida, Marwa, Hamrouni, Kamel, Solaiman, Basel, Boussetta, Sana (2017) An Efficient Method for Breast Mass Segmentation and Classification in Mammographic Images. International Journal of Advanced Computer Science and Applications, 8. doi:10.14569/ijacsa.2017.081134 |
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Plain Text | Hmida, Marwa, Hamrouni, Kamel, Solaiman, Basel, Boussetta, Sana (2017) An Efficient Method for Breast Mass Segmentation and Classification in Mammographic Images. International Journal of Advanced Computer Science and Applications, 8. doi:10.14569/ijacsa.2017.081134 |
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In | (n.d.) International Journal of Advanced Computer Science and Applications Vol. 8. The Science and Information Organization |
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