Computer Algorithms Show Potential for Improving Dermatologists' Accuracy to Diagnose Cutaneous Melanoma; Results of ISIC 2017.
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A. Kalloo | N. Codella | David Gutman | A. Halpern | B. Helba | M. Marchetti | S. Dusza | K. Liopyris | David A. Gutman | Aadi Kalloo | Brian Helba
[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 .