Computer Algorithms Show Potential for Improving Dermatologists' Accuracy to Diagnose Cutaneous Melanoma; Results of ISIC 2017.

[1]  John Paoli,et al.  Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks , 2019, JAMA dermatology.

[2]  Cristian Navarrete-Dechent,et al.  Automated Dermatological Diagnosis: Hype or Reality? , 2018, The Journal of investigative dermatology.

[3]  H. Haenssle,et al.  Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists , 2018, Annals of oncology : official journal of the European Society for Medical Oncology.

[4]  S. Han,et al.  Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. , 2018, The Journal of investigative dermatology.

[5]  John R. Smith,et al.  Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images , 2018, MLCN/DLF/iMIMIC@MICCAI.

[6]  D. Rigel,et al.  Enhanced melanoma diagnosis with multispectral digital skin lesion analysis. , 2018, Cutis.

[7]  A. Kalloo,et al.  Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images , 2018, Journal of the American Academy of Dermatology.

[8]  Kenji Suzuki,et al.  Overview of deep learning in medical imaging , 2017, Radiological Physics and Technology.

[9]  Jane Candlish,et al.  What is an ROC curve? , 2017, Emergency Medicine Journal.

[10]  Matt Berseth,et al.  ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection , 2017, ArXiv.

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

[12]  Sharath Pankanti,et al.  Deep learning ensembles for melanoma recognition in dermoscopy images , 2016, IBM J. Res. Dev..

[13]  Noel C. F. Codella,et al.  Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) , 2016, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

[14]  M. Mihm,et al.  The performance of MelaFind: a prospective multicenter study. , 2011, Archives of dermatology.

[15]  M. Pepe The Statistical Evaluation of Medical Tests for Classification and Prediction , 2003 .

[16]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[17]  Witold Abramowicz,et al.  Challenges , 2007, Prehospital and Disaster Medicine.

[18]  F. Baji,et al.  Overview of Deep Learning in Medical Imaging , 2018 .