相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Melanoma diagnosis using deep learning techniques on dermatoscopic images
Mario Fernando Jojoa Acosta et al.
BMC MEDICAL IMAGING (2021)
Detection of stages of melanoma using deep learning
N. M. Saravana Kumar et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
A deep convolutional neural network-based pigmented skin lesion classification application and experts evaluation
Onur Sevli
NEURAL COMPUTING & APPLICATIONS (2021)
Hybrid fully convolutional networks-based skin lesion segmentation and melanoma detection using deep feature
Kalyanakumar Jayapriya et al.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2020)
Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures
Jose-Agustin Almaraz-Damian et al.
ENTROPY (2020)
Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions
Hassan El-Khatib et al.
SENSORS (2020)
A DE-ANN Inspired Skin Cancer Detection Approach Using Fuzzy C-Means Clustering
Manoj Kumar et al.
MOBILE NETWORKS & APPLICATIONS (2020)
Development of new descriptor for melanoma detection on dermoscopic images
Hasan Akan et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2020)
The effects of skin lesion segmentation on the performance of dermatoscopic image classification
Amirreza Mahbod et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images
Adekanmi A. Adegun et al.
IEEE ACCESS (2020)
Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities
Ahmad Naeem et al.
IEEE ACCESS (2020)
Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task
Titus J. Brinker et al.
EUROPEAN JOURNAL OF CANCER (2019)
Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope
A. Dascalu et al.
EBIOMEDICINE (2019)
Diagnosis of melanoma from dermoscopic images using a deep depthwise separable residual convolutional network
Rahul Sarkar et al.
IET IMAGE PROCESSING (2019)
Deep neural networks are superior to dermatologists in melanoma image classification
Titus J. Brinker et al.
EUROPEAN JOURNAL OF CANCER (2019)
Step-wise integration of deep class-specific learning for dermoscopic image segmentation
Lei Bi et al.
PATTERN RECOGNITION (2019)
Classification of Melanoma and Nevus in Digital and Nevus in Digital Images for Diagnosis of Skin Cancer
Muhammad Qasim Khan et al.
IEEE ACCESS (2019)
The skin cancer classification using deep convolutional neural network
Ulzii-Orshikh Dorj et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl et al.
SCIENTIFIC DATA (2018)
Bagged textural and color features for melanoma skin cancer detection in dermoscopic and standard images
Naser Alfed et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Deep learning ensembles for melanoma recognition in dermoscopy images
N. C. F. Codella et al.
IBM JOURNAL OF RESEARCH AND DEVELOPMENT (2017)
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance
Yading Yuan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
Handcrafted vs. non-handcrafted features for computer vision classification
Loris Nanni et al.
PATTERN RECOGNITION (2017)
An SVM Framework for Malignant Melanoma Detection Based on Optimized HOG Features
Samy Bakheet
COMPUTATION (2017)
Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features
Catarina Barata et al.
IEEE SYSTEMS JOURNAL (2014)
Diagnostic accuracy and cost-effectiveness of dermoscopy in primary care: a cluster randomized clinical trial
C. J. L. Koelink et al.
JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY (2014)
Robust Hashing for Image Authentication Using Zernike Moments and Local Features
Yan Zhao et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2013)
A methodological approach to the classification of dermoscopy images
M. Emre Celebi et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2007)
Image Zernike Moments Shape Feature Evaluation Based on Image Reconstruction
Liu Maofu et al.
GEO-SPATIAL INFORMATION SCIENCE (2007)
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
T Ojala et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)
Dermoscopy: Alternative melanocytic algorithms - The ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist
RH Johr
CLINICS IN DERMATOLOGY (2002)