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WN-based approach to melanoma diagnosis from dermoscopy images

IET image processing, 2017-07, Vol.11 (7), p.475-482

2017

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Melanoma antigens and related immunological markers

Critical reviews in oncology/hematology, 2017-07, Vol.115, p.36-49

2017

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Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review

Journal of the American Academy of Dermatology, 2019-11, Vol.81 (5), p.1176-1180

2019

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Melanoma diagnosed on digital dermoscopy monitoring: A side-by-side image comparison is needed to improve early detection

Journal of the American Academy of Dermatology, 2021-09, Vol.85 (3), p.619-625

2021

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The association between COVID-19 lockdowns and melanoma diagnosis and thickness: A multicenter retrospective study from Europe

Journal of the American Academy of Dermatology, 2022-09, Vol.87 (3), p.648-649

2022

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Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study

Medical image analysis, 2021-01, Vol.67, p.101858-101858, Article 101858

2021

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Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition

Pattern recognition, 2021-12, Vol.120, p.108075, Article 108075

2021

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AN ENSEMBLE TEMPLATE MATCHING AND CONTENT-BASED IMAGE RETRIEVAL SCHEME TOWARDS EARLY STAGE DETECTION OF MELANOMA

Image analysis & stereology, 2016-01, Vol.35 (3), p.137-148

2016

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Early Melanoma Diagnosis With Sequential Dermoscopic Images

IEEE transactions on medical imaging, 2022-03, Vol.41 (3), p.633-646

2022

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IEEE_Xplore

Pattern Analysis for Histopathologic Diagnosis of Melanocytic Lesions: A Guide to Practical Dermatopathology

1, 2022

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Development of a clinically oriented system for melanoma diagnosis

Pattern recognition, 2017-09, Vol.69, p.270-285

2017

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Performing Melanoma Diagnosis by an Effective Multi-view Convolutional Network Architecture

International journal of computer vision, 2023-11, Vol.131 (11), p.3094-3117

2023

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Advances in melanoma: epidemiology, diagnosis, and prognosis

Frontiers in medicine, 2023, Vol.10, p.1268479-1268479

2023

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CIFF-Net: Contextual image feature fusion for Melanoma diagnosis

Biomedical signal processing and control, 2024-02, Vol.88, p.105673, Article 105673

2024

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A framework to build accurate Convolutional Neural Network models for melanoma diagnosis

Knowledge-based systems, 2023-01, Vol.260, p.110157, Article 110157

2023

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Integrating Electrical Impedance Spectroscopy into Clinical Decisions for Pigmented Skin Lesions Improves Diagnostic Accuracy: A Multitiered Study

Skin (Milwood, N.Y.), 2020-09, Vol.4 (5), p.424-430

2020

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Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis

Artificial intelligence in medicine, 2023-07, Vol.141, p.102556-102556, Article 102556

2023

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Skin cancer detection using Kernel Fuzzy C-means and Developed Red Fox Optimization algorithm

Biomedical signal processing and control, 2022-01, Vol.71, p.103160, Article 103160

2022

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Faster Region Based Convolutional Neural Network for Skin Lesion Segmentation

Intelligent automation and soft computing, 2023, Vol.36 (2), p.2099-2109

2023

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Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules

Cancers, 2021-10, Vol.13 (19), p.4974

2021

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An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis

Neural computing & applications, 2022-07, Vol.34 (13), p.10429-10448

2022

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Performance Improvement of Melanoma Detection Using a Multi-Network System Based on Decision Fusion

Applied sciences, 2023-09, Vol.13 (18), p.10536

2023

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Malignant melanoma detection using multi-scale image decomposition and a new ensemble-learning scheme

Multimedia tools and applications, 2024-02, Vol.83 (7), p.21213-21228

2024

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Automatic Detection of Malignant Melanoma using Macroscopic Images

Journal of medical signals and sensors, 2014-10, Vol.4 (4), p.281-290

2014

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Amelanotic Melanoma Masquerading as Ocular Surface Squamous Neoplasia

Ophthalmology (Rochester, Minn.), 2023-12, Vol.130 (12), p.1351-1351

2023

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WN-based approach to melanoma diagnosis from dermoscopy images

Melanoma antigens and related immunological markers

Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review

Melanoma diagnosed on digital dermoscopy monitoring: A side-by-side image comparison is needed to improve early detection

The association between COVID-19 lockdowns and melanoma diagnosis and thickness: A multicenter retrospective study from Europe

Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study

Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition

AN ENSEMBLE TEMPLATE MATCHING AND CONTENT-BASED IMAGE RETRIEVAL SCHEME TOWARDS EARLY STAGE DETECTION OF MELANOMA

Early Melanoma Diagnosis With Sequential Dermoscopic Images

Pattern Analysis for Histopathologic Diagnosis of Melanocytic Lesions: A Guide to Practical Dermatopathology

Development of a clinically oriented system for melanoma diagnosis

Performing Melanoma Diagnosis by an Effective Multi-view Convolutional Network Architecture

Advances in melanoma: epidemiology, diagnosis, and prognosis

CIFF-Net: Contextual image feature fusion for Melanoma diagnosis

A framework to build accurate Convolutional Neural Network models for melanoma diagnosis

Integrating Electrical Impedance Spectroscopy into Clinical Decisions for Pigmented Skin Lesions Improves Diagnostic Accuracy: A Multitiered Study

Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis

Skin cancer detection using Kernel Fuzzy C-means and Developed Red Fox Optimization algorithm

Faster Region Based Convolutional Neural Network for Skin Lesion Segmentation

Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules

An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis

Performance Improvement of Melanoma Detection Using a Multi-Network System Based on Decision Fusion

Malignant melanoma detection using multi-scale image decomposition and a new ensemble-learning scheme

Automatic Detection of Malignant Melanoma using Macroscopic Images

Amelanotic Melanoma Masquerading as Ocular Surface Squamous Neoplasia

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