Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images

Muller, H., Kalpathy–Cramer, J., Caputo, B., Syeda-Mahmood, T., Wang, F. Overview of the First Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009

2009

Earlier work this paper cites.

Ballerini, L., Fisher, R., Rees, J.: A query–by–example content–based image retrieval system of non–-melanoma skin lesions. In Medical Content–-based Retrieval for Clinical Decision Support (MCBR–CDS), LNCS, vol. 5853, 2009

2009

Earlier work this paper cites.

Akgul, C.B., Rubin, D.L., Napel, S., Beaulieu, C.F., Greenspan, H., Acar, B. Content-Based Image Retrieval in Radiology: Current Status and Future Directions. Journal of Digital Imaging, Vol 24, No 2 (April), 2011: pp 208Y222

2011

Earlier work this paper cites.

Yosinki, J., Clune, J., Nguyen, A., Fuchs, T., Lipson, H. Understanding Neural Networks Through Deep Visualization. In: Deep Learning Workshop of International Conference on Machine Learning (ICML) 2015

2015

Earlier work this paper cites.

Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A. Learning Deep Features for Discriminative Localization. In: Computer Vision and Pattern Recognition (CVPR) 2016

2016

Earlier work this paper cites.

Zhang, S., Gong, Y., Huang, J.B., Lim, J., Wang, J., Ahuja, N., Yang, M.H. Tracking Persons-of-Interest via Adaptive Discriminative Features. In: European Conference on Computer Vision (ECCV) 2016

2016

Cited alongside, same era.

Codella NCF, Nguyen B, Pankanti S, Gutman D, Helba B, Halpern A, Smith JR. “Deep learning ensembles for melanoma recognition in dermoscopy images” In: IBM Journal of Research and Development, vol. 61, no. 4/5, 2017

2017

Cited alongside, same era.

Esteva A,Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. “Dermatologist-level classification of skin cancer with deep neural networks”. Nature, vol 542, pp 115–118. 2017

2017

Cited alongside, same era.

Menegola A, Tavares J, Fornaciali M, Li LT, Avila S, Valle E. “RECOD Titans at ISIC Challenge 2017”. 2017 International Symposium on Biomedical Imaging (ISBI) Challenge on Skin Lesion Analysis Towards Melanoma Detection. Available: https://arxiv.org/pdf/1703.04819.pdf

Original

2017

Cited alongside, same era.

Chung Y.A., Weng, W.H. ”Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval. NIPS 2017 Workshop on Machine Learning for Health (ML4H)

2017

Later among the works it cites.

Ge, Z., Demyanov S., Chakravorty, R., Bowling, A., Garnavi, R. Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images. MICCAI 2017

2017

Later among the works it cites.

Codella N, et al. “Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2017, hosted by the International Skin Imaging Collaboration (ISIC)”. IEEE International Symposium of Biomedical Imaging (ISBI) 2018

2018

Closest in time.

Marchetti M, 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”. J Am Acad Dermatol. 2018 Feb;78(2):270-277