Localization of cutaneous lesions in digital images
Computers and Biomedical Research
Initial results of automated melanoma recognition
Selected papers from the 9th Scandinavian conference on Image analysis : theory and applications of image analysis II: theory and applications of image analysis II
Texture Features in the Classification of Melanocytic Lesions
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
From Colour to Tissue Histology: Physics Based Interpretation of Images of Pigmented Skin Lesions
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Registration of Nevi in Successive Skin Images for Early Detection of Melanoma
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Content-based Retrieval and Data Mining of a Skin Cancer Image Database
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Content-Based Image Retrieval Incorporating Models of Human Perception
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Feature Selection in Melanoma Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Artificial Intelligence in Medicine
Line Detection and Texture Characterization of Network Patterns
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Computerised Skin Lesion Surface Analysis for Pigment Asymmetry Quantification
IMVIP '07 Proceedings of the International Machine Vision and Image Processing Conference
MEMEA '06 Proceedings of the IEEE International Workshop on Medical Measurement and Applications, 2006. MeMea 2006.
A multi-direction GVF snake for the segmentation of skin cancer images
Pattern Recognition
A narrow band graph partitioning method for skin lesion segmentation
Pattern Recognition
Pattern analysis of dermoscopic images based on Markov random fields
Pattern Recognition
Overview of advanced computer vision systems for skin lesions characterization
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
IEEE Transactions on Fuzzy Systems
Computers in Biology and Medicine
Analysis of Pigmented Skin Lesion Border Irregularity Using the Harmonic Wavelet Transform
IMVIP '09 Proceedings of the 2009 13th International Machine Vision and Image Processing Conference
Pigmented Skin Lesions Classification Using Dermatoscopic Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Dermoscopic interest point detector and descriptor
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Blotch Detection in Pigmented Skin Lesions Using Fuzzy Co-clustering and Texture Segmentation
DICTA '09 Proceedings of the 2009 Digital Image Computing: Techniques and Applications
Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Scale invariant descriptors in pattern analysis of melanocytic lesions
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Exemplar-based segmentation of pigmented skin lesions from dermoscopy images
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Size functions for the morphological analysis of melanocytic lesions
Journal of Biomedical Imaging - Special issue on mathematical methods for images and surfaces
Semi-automated Diagnosis of Melanoma through the Analysis of Dermatological Images
SIBGRAPI '10 Proceedings of the 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images
Learning methods for melanoma recognition
International Journal of Imaging Systems and Technology
Computers in Biology and Medicine
Biological indexes based reflectional asymmetry for classifying cutaneous lesions
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Unsupervised skin lesions border detection via two-dimensional image analysis
Computer Methods and Programs in Biomedicine
Intelligent segmentation and classification of pigmented skin lesions in dermatological images
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
A query-by-example content-based image retrieval system of non-melanoma skin lesions
MCBR-CDS'09 Proceedings of the First MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Conditional random fields and supervised learning in automated skin lesion diagnosis
Journal of Biomedical Imaging - Special issue on Machine Learning in Medical Imaging
IEEE Transactions on Information Technology in Biomedicine
A multiple classifier system for early melanoma diagnosis
Artificial Intelligence in Medicine
A decision support system for the diagnosis of melanoma: A comparative approach
Expert Systems with Applications: An International Journal
Generalizing Common Tasks in Automated Skin Lesion Diagnosis
IEEE Transactions on Information Technology in Biomedicine
Skin lesion image segmentation using a color genetic algorithm
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Computers in Biology and Medicine
| Hi-index | 0.00 |
Objective: Computerized analysis of pigmented skin lesions (PSLs) is an active area of research that dates back over 25years. One of its main goals is to develop reliable automatic instruments for recognizing skin cancer from images acquired in vivo. This paper presents a review of this research applied to microscopic (dermoscopic) and macroscopic (clinical) images of PSLs. The review aims to: (1) provide an extensive introduction to and clarify ambiguities in the terminology used in the literature and (2) categorize and group together relevant references so as to simplify literature searches on a specific sub-topic. Methods and material: The existing literature was classified according to the nature of publication (clinical or computer vision articles) and differentiating between individual and multiple PSL image analysis. We also emphasize the importance of the difference in content between dermoscopic and clinical images. Results: Various approaches for implementing PSL computer-aided diagnosis systems and their standard workflow components are reviewed and summary tables provided. An extended categorization of PSL feature descriptors is also proposed, associating them with the specific methods for diagnosing melanoma, separating images of the two modalities and discriminating references according to our classification of the literature. Conclusions: There is a large discrepancy in the number of articles published on individual and multiple PSL image analysis and a scarcity of reported material on the automation of lesion change detection. At present, computer-aided diagnosis systems based on individual PSL image analysis cannot yet be used to provide the best diagnostic results. Furthermore, the absence of benchmark datasets for standardized algorithm evaluation is a barrier to a more dynamic development of this research area.