論文筆記《Automated melanoma recognition in dermoscopy images via very deep residual networks》
這是博主自己讀論文的筆記哦，原文請在Automated melanoma recognition in dermoscopy images via very deep residual networks下載~ 解決的問題： 皮膚黑色素瘤與非黑色素瘤的分類 面臨的挑戰 醫學圖像數據有限 醫學圖像分類中類別間的差異比自然圖像小得多 比如黑色素瘤與非黑色素瘤之前的差異比人與汽車的差異小得多。 創新點(其
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相關文章
- 1. 【論文筆記】Training Very Deep Networks - Highway Networks
- 2. 論文筆記——Deep Residual Learning for Image Recognition
- 3. Deep Residual Learning for Image Recognition 論文筆記
- 4. 論文筆記：Very Deep Convolutional Networks for Large-Scale Image Recognition
- 5. 【論文筆記】Deep Residual Learning for Image Recognition
- 6. 論文筆記：Deep Residual Learning for Image Recognition
- 7. 論文閱讀筆記--VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- 8. 論文筆記《Very Deep Convolutional Networks for Large-Scale Image Recognition》
- 9. 【論文翻譯】Deep Residual Learning for Image Recognition
- 10. 論文筆記：Deep Residual Network