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。Augmenting data with GANs to segment melanoma skin lesions
Federico Pollastri et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks
Giulia Ligabue et al.
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY (2020)
Update on BRAF and MEK inhibition for treatment of melanoma in metastatic, unresectable, and adjuvant settings
Kristy Kummerow Broman et al.
EXPERT OPINION ON DRUG SAFETY (2019)
Causability and explainability of artificial intelligence in medicine
Andreas Holzinger et al.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2019)
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
Philipp Tschandl et al.
LANCET ONCOLOGY (2019)
The Possibility of Deep Learning-Based, Computer-Aided Skin Tumor Classifiers
Yasuhiro Fujisawa et al.
FRONTIERS IN MEDICINE (2019)
Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
Huei-Fang Yang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl et al.
SCIENTIFIC DATA (2018)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Deep Semantics-Preserving Hashing Based Skin Lesion Image Retrieval
Xiaorong Pu et al.
ADVANCES IN NEURAL NETWORKS, PT II (2017)
Intelligent Content-Based Dermoscopic Image Retrieval with Relevance Feedback for Computer-Aided Melanoma Diagnosis
Khadidja Belattar et al.
JOURNAL OF INFORMATION TECHNOLOGY RESEARCH (2017)
Content-based image retrieval in dermatology using intelligent technique
Gnanasigamony Wiselin Jiji et al.
IET IMAGE PROCESSING (2015)
Dermatoscopy for Melanoma and Pigmented Lesions
Babar K. Rao et al.
DERMATOLOGIC CLINICS (2012)
Definition of an automated Content-Based Image Retrieval (CBIR) system for the comparison of dermoscopic images of pigmented skin lesions
Alfonso Baldi et al.
BIOMEDICAL ENGINEERING ONLINE (2009)
Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting
M. E. Vestergaard et al.
BRITISH JOURNAL OF DERMATOLOGY (2008)
A methodological approach to the classification of dermoscopy images
M. Emre Celebi et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2007)
The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy
J. Scott Henning et al.
JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY (2007)
Algorithmic reproduction of asymmetry and border cut-off parameters according to the ABCD rule for dermoscopy
G. Pellacani et al.
JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY (2006)
Dermoscopy improves accuracy of primary care physicians to triage lesions suggestive of skin cancer
G Argenziano et al.
JOURNAL OF CLINICAL ONCOLOGY (2006)
Do physicians value decision support? A look at the effect of decision support systems on physician opinion
S Dreiseitl et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2005)
Towards a computer-aided diagnosis system for pigmented skin lesions
P Schmid-Saugeon et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2003)
Dermoscopy: Alternative melanocytic algorithms - The ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist
RH Johr
CLINICS IN DERMATOLOGY (2002)
Automated melanoma recognition
H Ganster et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2001)
Malignant melanoma: Prevention, early detection, and treatment in the 21st Century
DS Rigel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2000)
分享论文
