Fetching the paper…
Reading the bibliography…
In this article, we describe the design and implementation of a publicly accessible dermatology image analysis benchmark challenge.
Stolz, W., Riemann, A., Cognetta, A.B., et al.: “ABCD rule of dermoscopy: a new practical method for early recognition of malignant melanoma.” Eur J Dermatol. 1994;4(7):521-527
1994
Earlier work this paper cites.
Menzies, S.W., Ingvar, C., Crotty, K.A., McCarthy, W.H.: “Frequency and morphologic characteristics of invasive melanomas lacking specific surface microscopic features.” Arch Dermatol. 1996;132(10):1178-1182
1996
Earlier work this paper cites.
Argenziano, G. Fabbrocini, G., Carli, P., De Giorgi, V., Sammarco, E., Delfino, M.: “Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions: comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis.” Arch Dermatol. 1998;134(12):1563-1570
1998
Earlier work this paper cites.
Colot, O., Devinoy, R., Sombo, A., de Brucq, D.: “A Colour Image Processing Method for Melanoma Detection”. In: Medical Image Computing and Computer-Assisted Intervention. pp. 562-569. 1998
1998
Earlier work this paper cites.
Brady, M.S., Oliveria, S.A., Christos, P.J., Berwick, M., Coit, D.G., Katz, J., Halpern, A.C.: “Patterns of detection in patients with cutaneous melanoma.” Cancer. 2000 Jul 15;89(2):342-7
2000
Earlier work this paper cites.
Bafounta, M.L., Beauchet, A., Aegerter, P., et al.: “Is dermoscopy (epiluminescence microscopy) useful for the diagnosis of melanoma? Results of a meta-analysis using techniques adapted to the evaluation of diagnostic tests.” Arch Dermatol. Oct 2001;137:1343-1350
2001
Earlier work this paper cites.
Ganster, H., Pinz, A., Röhrer, R., Wildling, E., Binder, M., Kittler, H.: “Automated Melanoma Recognition”. In: IEEE Transactions on Medical Imaging, vol. 20, no. 3, 2001
2001
Earlier work this paper cites.
Kittler, H., Pehamberger, H., Wolff, K., Binder, M.: “Diagnostic accuracy of dermoscopy”. In: The Lancet Oncology. vol. 3, no. 3, pp. 159.165. 2002
2002
Earlier work this paper cites.
Carli, P., Quercioli, E., Sestini, S., Stante, M., Ricci, L., Brunasso, G., De Giorgi, V.: “Pattern analysis, not simplified algorithms, is the most reliable method for teaching dermoscopy for melanoma diagnosis to residents in dermatology”. In: Br J Dermatol. vol. 148, no. 5, pp. 981-4. 2003
2003
Earlier work this paper cites.
Argenziano, G. et al.: “Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the Internet” J. American Academy of Dermatology. vol. 48 (5), 2003
2003
Earlier work this paper cites.
Soyer, H.P., Argenziano, G., Zalaudek, I., et al.: “Three-point checklist of dermoscopy: a new screening method for early detection of melanoma.” Dermatology. 2004;208(1):27-31
2004
Earlier work this paper cites.
Braun, R.P., Rabinovitz, H.S., Oliviero, M., Kopf, A.W., Saurat, J.H.: “Dermoscopy of pigmented skin lesions.”. In: J Am Acad Dermatol. vol. 52, no. 1, pp. 109-21. 2005
2005
Cited alongside, same era.
Gachon, J., et. al.: “First Prospective Study of the Recognition Process of Melanoma in Dermatological Practice”. In: Arch Dermatol. vol. 141, no. 4, pp. 434-438, 2005
2005
Cited alongside, same era.
Rezze, G.G., Soares de Sá, B.C., Neves, R.I.: “Dermoscopy: the pattern analysis”. In: An Bras Dermatol., vol. 3, pp. 261-8. 2006
2006
Cited alongside, same era.
Argenziano, G. et al.: “Dermoscopy Improves Accuracy of Primary Care Physicians to Triage Lesions Suggestive of Skin Cancer” J. of. Clinical Oncology. vol. 24, no 12, 2006
2006
Cited alongside, same era.
Henning, J.S., Dusza, S.W., Wang, S.Q., et al.: “The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy.” J Am Acad Dermatol. 2007;56(1):45-52
Abder-Rahman, A.A., Deserno, T.M.,: “A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data”. In: Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
2012
Later among the works it cites.
Rosendahl, C., Cameron, A., McColl, I., Wilkinson, D.: “Dermatoscopy in routine practice: ‘chaos and clues’.” Aust Fam Physician. 2012;41(7):482-487
2012
Later among the works it cites.
Garnavi, R., Aldeen, M., Bailey, J.: “Computer-aided diagnosis of melanoma using border and wavelet-based texture analysis”. In: IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 6, pp. 1239–52. 2012
2012
Later among the works it cites.
Barata, C., Ruela, M., et al.: “Two Systems for the Detection of Melanomas in Dermoscopy Images using Texture and Color Features”. In: IEEE Systems Journal, no. 99, pp. 1-15, 2013
2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2007
Cited alongside, same era.
Vestergaard, M.E., Macaskill, P., Holt, P.E., et al.: “Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting.” Br J Dermatol. Sep 2008;159:669-676
2008
Cited alongside, same era.
Kimball, A.B., Resneck, J.S. Jr.: “The US dermatology workforce: a specialty remains in shortage.” J Am Acad Dermatol. 2008 Nov;59(5):741-5
2008
Cited alongside, same era.
Celebi, M.E., Iyatomi, H., Stoecker, W.V., Moss, R.H., Rabinovitz, H.S., Argenziano, G., Soyer, H.P.: “Automatic detection of blue-white veil and related structures in dermoscopy images.” In: Comput Med Imaging Graph., vol. 32, no. 8, pp. 670-7, 2008
2008
Cited alongside, same era.
Celebi, E., Schaefer, G., Iyatomi, H., V. Stoecker, W.: “Lesion Border Detection in Dermoscopy Images.” Comput Med Imaging Graph. 2009 Mar; 33(2): 148–153
2009
Cited alongside, same era.
Di Leo, G., Paolillo, A., Sommella, P., Fabbrocini, G. Rescigno, O: “A software tool for the diagnosis of melanomas,” Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE, Austin, TX, 2010, pp. 886-891
2010
Cited alongside, same era.
Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., and Susstrun,S.: “SLIC Superpixels”, EPFL Technical Report 149300, June 2010
2010
Cited alongside, same era.
MoleScope. https://molescope.com/
Cited in the paper.
Madooei, A., Drew, M.S., Sadeghi, M., Stella Atkins, M.: “Automatic Detection of Blue-White Veil by Discrete Colour Matching in Dermoscopy Images”. In: Medical Image Computing and Computer-Assisted Intervention. pp. 453-460. 2013
2013
Later among the works it cites.
Mendonca, T., Ferreira, P.M., Marques, J.S., Marcal, A.R., Rozeira, J.: “PH2 - a dermoscopic image database for research and benchmarking”. In: Conf Proc IEEE Eng Med Biol Soc. pp. 5437-40, 2013
2013
Later among the works it cites.
“Cancer Facts & Figures 2014”. American Cancer Society, 2014
2014
Later among the works it cites.
Rogers HW, Weinstock MA, Feldman SR, Coldiron BM.: “Incidence estimate of nonmelanoma skin cancer (keratinocyte carcinomas) in the US population”, 2012. JAMA Dermatol 2015; 151(10):1081-1086
2015
Later among the works it cites.
Codella, N., et. al.: “Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images” in 6th International Workshop of Machine Learning in Medical Imaging (MLMI) 2015, Published in Lecture Notes in Computer Science (LNCS) 9352, pp 118-126, 2015
2015
Later among the works it cites.
Abedini, M., Codella, N.C.F., Connell, J.H., Garnavi, R., Merler, M., Pankanti, S., Smith, J.R., Syeda-Mahmood, T.: “A generalized framework for medical image classification and recognition”. In: IBM Journal of Research and Development, vol. 59, no. 2/3. 2015
2015
Later among the works it cites.
Siegel, R.L., Miller, K.D., and Jemal, A.: “Cancer statistics, 2016,” CA: A Cancer Journal for Clinicians, vol. 66, no. 1, pp. 7-30, 2016
2016
Closest in time.