{ "id": 156237, "title": "use β€˜ABCD’ rules", "url": "/competitions/siim-isic-melanoma-classification/discussion/156237", "author_name": "abnerzhang", "post_date": "2020-06-05T03:38:49.962000", "votes": 2, "comment_count": 1, "views": 0, "content": "

a recent paper \"A Clinical Decision Support System for Micro panoramic Melanoma Detection and grading using soft computing Technique\"

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𝑁𝑒𝑀 𝑇𝐷𝑆 = (1.3 Γ— π΄π‘ π‘¦π‘šπ‘šπ‘’π‘‘π‘Ÿπ‘¦πΌπ‘›π‘‘π‘’π‘₯) + (0.1 Γ— π΅π‘œπ‘Ÿπ‘‘π‘’π‘Ÿ π‘–π‘Ÿπ‘Ÿπ‘’π‘”π‘’π‘™π‘Žπ‘Ÿπ‘–π‘‘π‘¦) + (0.5 Γ— π΅π‘™π‘Žπ‘π‘˜) +\n(0.5 Γ— π‘Šβ„Žπ‘–π‘‘π‘’) + (0.5 Γ— 𝑅𝑒𝑑) + (0.5 Γ— 𝐡𝑙𝑒𝑒) + (0.3 Γ— π·π‘Žπ‘Ÿπ‘˜ π΅π‘Ÿπ‘œπ‘€π‘›) +\n(0.4 Γ— πΏπ‘–π‘”β„Žπ‘‘ π‘π‘Ÿπ‘œπ‘€π‘› ) + (0.5 Γ— 𝐷) ….(3)

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The Machine learning techniques employed in this work was tested on 226 samples\nand SVM generates highest classification accuracy of 96.4%

", "messages": [ { "id": 874488, "postDate": "2020-06-05T03:38:49.963Z", "content": "

a recent paper \"A Clinical Decision Support System for Micro panoramic Melanoma Detection and grading using soft computing Technique\"

\n\n

𝑁𝑒𝑀 𝑇𝐷𝑆 = (1.3 Γ— π΄π‘ π‘¦π‘šπ‘šπ‘’π‘‘π‘Ÿπ‘¦πΌπ‘›π‘‘π‘’π‘₯) + (0.1 Γ— π΅π‘œπ‘Ÿπ‘‘π‘’π‘Ÿ π‘–π‘Ÿπ‘Ÿπ‘’π‘”π‘’π‘™π‘Žπ‘Ÿπ‘–π‘‘π‘¦) + (0.5 Γ— π΅π‘™π‘Žπ‘π‘˜) +\n(0.5 Γ— π‘Šβ„Žπ‘–π‘‘π‘’) + (0.5 Γ— 𝑅𝑒𝑑) + (0.5 Γ— 𝐡𝑙𝑒𝑒) + (0.3 Γ— π·π‘Žπ‘Ÿπ‘˜ π΅π‘Ÿπ‘œπ‘€π‘›) +\n(0.4 Γ— πΏπ‘–π‘”β„Žπ‘‘ π‘π‘Ÿπ‘œπ‘€π‘› ) + (0.5 Γ— 𝐷) ….(3)

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The Machine learning techniques employed in this work was tested on 226 samples\nand SVM generates highest classification accuracy of 96.4%

", "rawMarkdown": "a recent paper \"A Clinical Decision Support System for Micro panoramic Melanoma Detection and grading using soft computing Technique\"\n\n𝑁𝑒𝑀 𝑇𝐷𝑆 = (1.3 Γ— π΄π‘ π‘¦π‘šπ‘šπ‘’π‘‘π‘Ÿπ‘¦πΌπ‘›π‘‘π‘’π‘₯) + (0.1 Γ— π΅π‘œπ‘Ÿπ‘‘π‘’π‘Ÿ π‘–π‘Ÿπ‘Ÿπ‘’π‘”π‘’π‘™π‘Žπ‘Ÿπ‘–π‘‘π‘¦) + (0.5 Γ— π΅π‘™π‘Žπ‘π‘˜) +\n(0.5 Γ— π‘Šβ„Žπ‘–π‘‘π‘’) + (0.5 Γ— 𝑅𝑒𝑑) + (0.5 Γ— 𝐡𝑙𝑒𝑒) + (0.3 Γ— π·π‘Žπ‘Ÿπ‘˜ π΅π‘Ÿπ‘œπ‘€π‘›) +\n(0.4 Γ— πΏπ‘–π‘”β„Žπ‘‘ π‘π‘Ÿπ‘œπ‘€π‘› ) + (0.5 Γ— 𝐷) ….(3)\n\n The Machine learning techniques employed in this work was tested on 226 samples\nand SVM generates highest classification accuracy of 96.4%", "votes": 2 }, { "id": 874526, "postDate": "2020-06-05T04:31:06.203Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 874526, "author_name": "", "author_url": "", "post_date": "2020-06-05T04:31:06.203000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "874488": "a recent paper \"A Clinical Decision Support System for Micro panoramic Melanoma Detection and grading using soft computing Technique\"\n\n𝑁𝑒𝑀 𝑇𝐷𝑆 = (1.3 Γ— π΄π‘ π‘¦π‘šπ‘šπ‘’π‘‘π‘Ÿπ‘¦πΌπ‘›π‘‘π‘’π‘₯) + (0.1 Γ— π΅π‘œπ‘Ÿπ‘‘π‘’π‘Ÿ π‘–π‘Ÿπ‘Ÿπ‘’π‘”π‘’π‘™π‘Žπ‘Ÿπ‘–π‘‘π‘¦) + (0.5 Γ— π΅π‘™π‘Žπ‘π‘˜) +\n(0.5 Γ— π‘Šβ„Žπ‘–π‘‘π‘’) + (0.5 Γ— 𝑅𝑒𝑑) + (0.5 Γ— 𝐡𝑙𝑒𝑒) + (0.3 Γ— π·π‘Žπ‘Ÿπ‘˜ π΅π‘Ÿπ‘œπ‘€π‘›) +\n(0.4 Γ— πΏπ‘–π‘”β„Žπ‘‘ π‘π‘Ÿπ‘œπ‘€π‘› ) + (0.5 Γ— 𝐷) ….(3)\n\n The Machine learning techniques employed in this work was tested on 226 samples\nand SVM generates highest classification accuracy of 96.4%", "874526": "" } }