Fetching the paper…
Reading the bibliography…
Deep learning based medical image classifiers have shown remarkable prowess in various application areas like ophthalmology, dermatology, pathology, and radiology.
R. J. Friedman, D. S. Rigel, and A. W. Kopf, “Early detection of malignant melanoma: the role of physician examination and self-examination of the skin,” CA: a cancer journal for clinicians , vol. 35, no. 3, pp. 130–151, 1985
1985
Earlier work this paper cites.
R. Corona, A. Mele, M. Amini, G. De Rosa, G. Coppola, P. Piccardi, M. Fucci, P. Pasquini, and T. Faraggiana, “Interobserver variability on the histopathologic diagnosis of cutaneous melanoma and other pigmented skin lesions.” Journal of clinical Oncology , vol. 14, no. 4, pp. 1218–1223, 1996
1996
Earlier work this paper cites.
S. Menzies, C. Ingvar, and W. McCarthy, “A sensitivity and specificity analysis of the surface microscopy features of invasive melanoma.” Melanoma research , vol. 6, no. 1, pp. 55–62, 1996
1996
Earlier work this paper cites.
R. P. Braun, H. S. Rabinovitz, J. Krischer, J. Kreusch, M. Oliviero, L. Naldi, A. W. Kopf, and J. H. Saurat, “Dermoscopy of pigmented seborrheic keratosis: a morphological study,” Archives of dermatology , vol. 138, no. 12, pp. 1556–1560, 2002
2002
Earlier work this paper cites.
G. Argenziano, H. P. Soyer, S. Chimenti, R. Talamini, R. Corona, F. Sera, M. Binder, L. Cerroni, G. De Rosa, G. Ferrara et al. , “Dermoscopy of pigmented skin lesions: results of a consensus meeting via the internet,” Journal of the American Academy of Dermatology , vol. 48, no. 5, pp. 679–693, 2003
2003
Earlier work this paper cites.
A. B. Fortina, E. Peserico, A. Silletti, and E. Zattra, “Where’s the naevus? inter-operator variability in the localization of melanocytic lesion border,” Skin Research and Technology , vol. 18, no. 3, pp. 311–315, 2012
2012
Earlier work this paper cites.
T. Mendonça, P. M. Ferreira, J. S. Marques, A. R. Marcal, and J. Rozeira, “Ph 2-a dermoscopic image database for research and benchmarking,” in 2013 35th annual international conference of the IEEE engineering in medicine and biology society (EMBC) . IEEE, 2013, pp. 5437–5440
2013
Earlier work this paper cites.
United Nations General Assembly, “Transforming our World: The 2030 Agenda for Sustainable Development,” available at https://sustainabledevelopment.un.org/post2015/, October 2015, a/RES/70/1
2015
Earlier work this paper cites.
S. Bach, A. Binder, G. Montavon, F. Klauschen, K.-R. Müller, and W. Samek, “On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation,” PloS one , vol. 10, no. 7, p. e0130140, 2015
2015
Earlier work this paper cites.
Council of the European Union, “Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation),” available at http://data.europa.eu/eli/reg/2016/679/2016-05-04, April 2016
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
H. Kittler, A. A. Marghoob, G. Argenziano, C. Carrera, C. Curiel-Lewandrowski, R. Hofmann-Wellenhof, J. Malvehy, S. Menzies, S. Puig, H. Rabinovitz et al. , “Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the international society of dermoscopy,” Journal of the American Academy of Dermatology , vol. 74, no. 6, pp. 1093–1106, 2016
2016
Earlier work this paper cites.
H. Zhao and M. Shingles, “AI for Good: Global Summit,” June 2017
2017
Earlier work this paper cites.
A. Esteva, B. Kuprel, R. A. Novoa, J. Ko, S. M. Swetter, H. M. Blau, and S. Thrun, “Dermatologist-level classification of skin cancer with deep neural networks,” Nature , vol. 542, no. 7639, p. 115, 2017
2017
Earlier work this paper cites.
G. Litjens, T. Kooi, B. E. Bejnordi, A. A. A. Setio, F. Ciompi, M. Ghafoorian, J. A. Van Der Laak, B. Van Ginneken, and C. I. Sánchez, “A survey on deep learning in medical image analysis,” Medical image analysis , vol. 42, pp. 60–88, 2017
2017
Earlier work this paper cites.
American Cancer Society, “Cancer facts & figures 2017,” 2017, https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2017/cancer-facts-and-figures-2017.pdf
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
M. Sundararajan, A. Taly, and Q. Yan, “Axiomatic attribution for deep networks,” in Proceedings of the 34th International Conference on Machine Learning-Volume 70 . JMLR. org, 2017, pp. 3319–3328
2017
Cited alongside, same era.
L. Anne Hendricks, R. Hu, T. Darrell, and Z. Akata, “Grounding visual explanations,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2018, pp. 264–279
2018
Later among the works it cites.
B. Hancock, M. Bringmann, P. Varma, P. Liang, S. Wang, and C. Ré, “Training classifiers with natural language explanations,” in Proceedings of the conference. Association for Computational Linguistics. Meeting , vol. 2018. NIH Public Access, 2018, p. 1884
2018
Later among the works it cites.
B. Zhou, Y. Sun, D. Bau, and A. Torralba, “Interpretable basis decomposition for visual explanation,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2018, pp. 119–134
2018
Later among the works it cites.
M. Graziani, V. Andrearczyk, and H. Müller, “Regression concept vectors for bidirectional explanations in histopathology,” in Understanding and Interpreting Machine Learning in Medical Image Computing Applications . Springer, 2018, pp. 124–132
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
S. Srivastava, I. Labutov, and T. Mitchell, “Joint concept learning and semantic parsing from natural language explanations,” in Proceedings of the 2017 conference on empirical methods in natural language processing , 2017, pp. 1527–1536
2017
Cited alongside, same era.
Z. Zhang, Y. Xie, F. Xing, M. McGough, and L. Yang, “Mdnet: A semantically and visually interpretable medical image diagnosis network,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017, pp. 6428–6436
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi, “Inception-v4, inception-resnet and the impact of residual connections on learning,” in Thirty-First AAAI Conference on Artificial Intelligence , 2017
2017
Cited alongside, same era.
S. Jolly, B. K. Iwana, R. Kuroki, and S. Uchida, “How do convolutional neural networks learn design?” in 2018 24th International Conference on Pattern Recognition (ICPR) . IEEE, 2018, pp. 1085–1090
2018
Cited alongside, same era.
S. Palacio, J. Folz, J. Hees, F. Raue, D. Borth, and A. Dengel, “What do deep networks like to see?” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018, pp. 3108–3117
2018
Cited alongside, same era.
N. C. Codella, D. Gutman, M. E. Celebi, B. Helba, M. A. Marchetti, S. W. Dusza, A. Kalloo, K. Liopyris, N. Mishra, H. Kittler 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),” in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) . IEEE, 2018, pp. 168–172
2018
Later among the works it cites.
M. N. Bajwa, M. I. Malik, S. A. Siddiqui, A. Dengel, F. Shafait, W. Neumeier, and S. Ahmed, “Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning,” BMC medical informatics and decision making , vol. 19, no. 1, p. 136, 2019
2019
Later among the works it cites.
A. Ghorbani, D. Ouyang, A. Abid, B. He, J. H. Chen, R. A. Harrington, D. H. Liang, E. A. Ashley, and J. Y. Zou, “Deep learning interpretation of echocardiograms,” bioRxiv , p. 681676, 2019
2019
Later among the works it cites.
R. L. Siegel, K. D. Miller, and A. Jemal, “Cancer statistics, 2019,” CA: a cancer journal for clinicians , vol. 69, no. 1, pp. 7–34, 2019
2019
Later among the works it cites.
E. S. Ruiz, F. C. Morgan, C. M. Zigler, R. J. Besaw, and C. D. Schmults, “Analysis of national skin cancer expenditures in the united states medicare population, 2013,” Journal of the American Academy of Dermatology , vol. 80, no. 1, pp. 275–278, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
M. Graziani, J. M. Brown, V. Andrearczyk, V. Yildiz, J. P. Campbell, D. Erdogmus, S. Ioannidis, M. F. Chiang, J. Kalpathy-Cramer, and H. Müller, “Improved interpretability for computer-aided severity assessment of retinopathy of prematurity,” in Medical Imaging 2019: Computer-Aided Diagnosis , vol. 10950. International Society for Optics and Photonics, 2019, p. 109501R
2019
Later among the works it cites.
2019
Later among the works it cites.
J. Kawahara, S. Daneshvar, G. Argenziano, and G. Hamarneh, “Seven-point checklist and skin lesion classification using multitask multimodal neural nets,” IEEE Journal of Biomedical and Health Informatics , vol. 23, no. 2, pp. 538–546, mar 2019
2019
Later among the works it cites.