Find solutions from proposed researches related to deep learning : melanoma image classification.\n1. [Toward a Molecular Classification of Melanoma 🥇 ] (https://ascopubs.org/doi/pdfdirect/10.1200/jco.2006.06.0442)\n2. Improving Melanoma Classification by Integrating Genetic and Morphologic Features\n3. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task\n4. Pathologist-level classification of histopathological melanoma images with deep neural networks 👍 \n5. Deep CNN and Data Augmentation for Skin Lesion Classification
", "messages": [ { "id": "872607", "postDate": "06/03/2020 10:58:33", "content": "Find solutions from proposed researches related to deep learning : melanoma image classification.\n1. [Toward a Molecular Classification of Melanoma 🥇 ] (https://ascopubs.org/doi/pdfdirect/10.1200/jco.2006.06.0442)\n2. Improving Melanoma Classification by Integrating Genetic and Morphologic Features\n3. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task\n4. Pathologist-level classification of histopathological melanoma images with deep neural networks 👍 \n5. Deep CNN and Data Augmentation for Skin Lesion Classification
", "rawMarkdown": "Find solutions from proposed researches related to deep learning : melanoma image classification.\n1. [Toward a Molecular Classification of Melanoma 🥇 ] (https://ascopubs.org/doi/pdfdirect/10.1200/jco.2006.06.0442)\n2. [Improving Melanoma Classification by Integrating Genetic and Morphologic Features](https://journals.plos.org/plosmedicine/article/file?type=printable&id=10.1371/journal.pmed.0050120)\n3. [Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task](https://www.sciencedirect.com/science/article/pii/S0959804919302217)\n4. [Pathologist-level classification of histopathological melanoma images with deep neural networks 👍 ](https://www.sciencedirect.com/science/article/pii/S0959804919302758)\n5. [Deep CNN and Data Augmentation for Skin Lesion Classification](https://www.researchgate.net/profile/Hoang_Van_Dung/publication/323161914_Deep_CNN_and_Data_Augmentation_for_Skin_Lesion_Classification/links/5b36fc8ba6fdcc8506dfb30c/Deep-CNN-and-Data-Augmentation-for-Skin-Lesion-Classification.pdf)", "votes": null }, { "id": "883355", "postDate": "06/12/2020 15:04:46", "content": "Thanks for sharing
", "rawMarkdown": "Thanks for sharing", "votes": null } ], "comments": [ { "id": 883355, "author_name": "sumanth048", "author_url": "", "post_date": "06/12/2020 15:04:46", "content": "Thanks for sharing
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "872607": "Find solutions from proposed researches related to deep learning : melanoma image classification.\n1. [Toward a Molecular Classification of Melanoma 🥇 ] (https://ascopubs.org/doi/pdfdirect/10.1200/jco.2006.06.0442)\n2. [Improving Melanoma Classification by Integrating Genetic and Morphologic Features](https://journals.plos.org/plosmedicine/article/file?type=printable&id=10.1371/journal.pmed.0050120)\n3. [Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task](https://www.sciencedirect.com/science/article/pii/S0959804919302217)\n4. [Pathologist-level classification of histopathological melanoma images with deep neural networks 👍 ](https://www.sciencedirect.com/science/article/pii/S0959804919302758)\n5. [Deep CNN and Data Augmentation for Skin Lesion Classification](https://www.researchgate.net/profile/Hoang_Van_Dung/publication/323161914_Deep_CNN_and_Data_Augmentation_for_Skin_Lesion_Classification/links/5b36fc8ba6fdcc8506dfb30c/Deep-CNN-and-Data-Augmentation-for-Skin-Lesion-Classification.pdf)", "883355": "Thanks for sharing" }, "source": "meta" }