论文信息 - End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers - 字舞流文

End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers

C. Paul Bonnington | Lei Zhang | Shakes Chandra | Zhen Yu | Zongyuan Ge | Victoria Mar | Anders Eriksson | Z. Ge | V. Mar | Zhenglun Yu | Lei Zhang | Anders Eriksson | Shakes Chandra | C. P. Bonnington

[1] Willem Zuidema,et al. Quantifying Attention Flow in Transformers , 2020, ACL.

[2] Achim Hekler,et al. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. , 2019, European journal of cancer.

[3] Xudong Jiang,et al. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features , 2019, IEEE Transactions on Biomedical Engineering.

[4] Carola Berking,et al. Melanoma , 2018, The Lancet.

[5] Rahil Garnavi,et al. Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images , 2017, MICCAI.

[6] Hao Chen,et al. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks , 2017, IEEE Transactions on Medical Imaging.

[7] Sebastian Thrun,et al. Dermatologist-level classification of skin cancer with deep neural networks , 2017, Nature.

[8] J. Grob,et al. First prospective study of the recognition process of melanoma in dermatological practice. , 2005, Archives of dermatology.

[9] J. Grob,et al. The 'ugly duckling' sign: identification of the common characteristics of nevi in an individual as a basis for melanoma screening. , 1998, Archives of dermatology.