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The Classification of medical images and illustrations in the literature aims to label a medical image according to the modality it was produced or label an illustration according to its production attributes.
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
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Imagenet: A large-scale hierarchical image database
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Evaluation: From precision, recall and f-factor to roc, informedness, markedness and correlation
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Creating a classification of image types in the medical literature for visual categorization
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A bag-of-objects retrieval model for web image search
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Learning image-to-class distance matric for image classification
Z. Wang, Y. Hu, and L.-T. Chia · 2013
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Learning and transferring mid-level image representations using convolutional neural networks
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Deep learning of feature representation with multiple instance learning for medical image analysis
Y. Xu, T. Mo, Q. Feng, P. Zhong, M. Lai, and E. I.-C. Chang · 2014
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Evaluating performance of biomedical image retrieval systems an overview of the medical image retrieval task at imageclef 2004-2013
J. Kalpathy-Cramer, A. G. S. de Herrera, D. Demner-Fushman, S. Antani, S. Bedrick, and H. Mueller · 2015
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Large margin local estimate with applications to medical image classification
S. Yang, W. Cai, H. Huang, Y. Zhou, D. D. Feng, Y. Wang, M. J. Fulham, and M. Chen · 2015
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Machine learning approaches in medical image analysis: From detection to diagnosis
M. de Bruijne · 2016
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Overview of the imageclef 2016 medical task
A. G. S. de Herrera, R. Schaer, S. Bromuri, and H. Mueller · 2016
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Novasearch at imageclefmed2016 subfigure classification task
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Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images
K. Sirinukunwattana and S. Raza · 2016
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Ipl at clef2016 medical task
L. Valavanis, S. Stathopoulos, and T. Kalamboukis · 2016
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Four challenges in medical image analysis from an industrial perspective
J. Weese and C. Lorenz · 2016
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Dcan: Deep contour-aware networks for object instance segmentation from histology images
H. Chen, X. Qi, L. Yu, Q. Dou, J. Qin, and P.-A. Heng · 2017
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An ensemble of fine-tuned convolutional neural networks for medical image classification
A. Kumar, J. Kim, D. Lyndon, M. Fulham, and D. Feng · 2017
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Subfigure and multi-label classification using a fine-tuned convolutional neural network
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Udel cis at imageclef medical task 2016
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