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PH2 - A dermoscopic image database for research and benchmarking

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.5437-5440

2013

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Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma

2018 IEEE Symposium on Computers and Communications (ISCC), 2018, p.00508-00513

2018

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End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.176-184

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DEEP LEARNING BASED SKIN LESIONS DIAGNOSIS

International archives of the photogrammetry, remote sensing and spatial information sciences., 2019, Vol.XLII-2/W12, p.81-85

2019

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Set of descriptors for skin cancer diagnosis using non-dermoscopic color images

2016 IEEE International Conference on Image Processing (ICIP), 2016, p.2638-2642

2016

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Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding

Pattern Recognition and Image Analysis, p.528-536

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A novel SVM-ID3 hybrid feature selection method to build a disease model for melanoma using integrated genotyping and phenotype data from dbGaP

Studies in health technology and informatics, 2014, Vol.205, p.501

2014

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Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.4754-4757

2019

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Color Detection in Dermoscopy Images Based on Scarce Annotations

Pattern Recognition and Image Analysis, p.309-316

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Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images

2023 31st European Signal Processing Conference (EUSIPCO), 2023, p.975-979

2023

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Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images

2024 7th International Conference on Information and Computer Technologies (ICICT), 2024, p.166-172

2024

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MelanomaNet: An Effective Network for Melanoma Detection

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.1613-1616

2019

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Hybrid Feature Extraction and Deep Learning for Improved Melanoma Diagnosis from Skin Lesion Images

2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2024, p.01-06

2024

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Bidimensional Fuzzy Entropy: Principle Analysis and Biomedical Applications

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.4811-4814

2019

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Melanoma Skin Cancer Detection Using Recent Deep Learning Models

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.3074-3077

2021

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Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images

2022 OITS International Conference on Information Technology (OCIT), 2022, p.146-151

2022

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Guidelines of care for the management of primary cutaneous melanoma. American Academy of Dermatology

Journal of the American Academy of Dermatology, 2011, Vol.65 (5), p.1032-1047

2011

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Melanoma Skin Cancer Classification using Machine Learning: A Systematic Literature Review

2022 2nd International Conference on Information Technology and Education (ICIT&E), 2022, p.212-216

2022

Volltextzugriff (PDF)

ZooME: Efficient Melanoma Detection Using Zoom-in Attention and Metadata Embedding Deep Neural Network

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.4041-4044

2021

Volltextzugriff (PDF)

Quantitative Comparison of Color Asymmetry Features for Automatic Melanoma Detection

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.3753-3756

2021

Volltextzugriff (PDF)

Learning from examples to automatically cluster pigmented skin lesions

2013 IEEE 10th International Symposium on Biomedical Imaging, 2013, p.153-156

2013

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H-scan imaging and quantitative measurement to distinguish melanoma metastasis

2021 IEEE International Ultrasonics Symposium (IUS), 2021, p.1-4

2021

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Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 3), p.124-132

2011

Volltextzugriff (PDF)

Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.6455-6458

2014

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Kernel methods for melanoma recognition

Studies in health technology and informatics, 2006, Vol.124, p.983

2006

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PH2 - A dermoscopic image database for research and benchmarking

Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma

End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers

DEEP LEARNING BASED SKIN LESIONS DIAGNOSIS

Set of descriptors for skin cancer diagnosis using non-dermoscopic color images

Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding

A novel SVM-ID3 hybrid feature selection method to build a disease model for melanoma using integrated genotyping and phenotype data from dbGaP

Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy

Color Detection in Dermoscopy Images Based on Scarce Annotations

Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images

Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images

MelanomaNet: An Effective Network for Melanoma Detection

Hybrid Feature Extraction and Deep Learning for Improved Melanoma Diagnosis from Skin Lesion Images

Bidimensional Fuzzy Entropy: Principle Analysis and Biomedical Applications

Melanoma Skin Cancer Detection Using Recent Deep Learning Models

Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images

Guidelines of care for the management of primary cutaneous melanoma. American Academy of Dermatology

Melanoma Skin Cancer Classification using Machine Learning: A Systematic Literature Review

ZooME: Efficient Melanoma Detection Using Zoom-in Attention and Metadata Embedding Deep Neural Network

Quantitative Comparison of Color Asymmetry Features for Automatic Melanoma Detection

Learning from examples to automatically cluster pigmented skin lesions

H-scan imaging and quantitative measurement to distinguish melanoma metastasis

Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions

Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs

Kernel methods for melanoma recognition

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