The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning
Authors
Keywords
-
Journal
Biomolecules
Volume 10, Issue 8, Pages 1123
Publisher
MDPI AG
Online
2020-07-30
DOI
10.3390/biom10081123
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine
- (2020) Ryuji Hamamoto et al. Biomolecules
- Dermoscopy in differential diagnosis of inflammatory dermatoses and mycosis fungoides
- (2020) Sultan A. Bilgic et al. INTERNATIONAL JOURNAL OF DERMATOLOGY
- Optimized YOLOv3 Algorithm and Its Application in Traffic Flow Detections
- (2020) Yi-Qi Huang et al. Applied Sciences-Basel
- Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer
- (2020) Ken Asada et al. Biomolecules
- Faster R-CNN approach for detection and quantification of DNA damage in comet assay images
- (2020) Riccardo Rosati et al. COMPUTERS IN BIOLOGY AND MEDICINE
- An effective and accurate identification system of Mycobacterium tuberculosis using convolution neural networks
- (2019) Chan-Pang Kuok et al. MICROSCOPY RESEARCH AND TECHNIQUE
- A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task
- (2019) Titus J. Brinker et al. EUROPEAN JOURNAL OF CANCER
- Classification of 3097 patients from the Japanese melanoma study database using the American joint committee on cancer eighth edition cancer staging system
- (2019) Yasuhiro Fujisawa et al. JOURNAL OF DERMATOLOGICAL SCIENCE
- Improved Faster R-CNN Traffic Sign Detection Based on a Second Region of Interest and Highly Possible Regions Proposal Network
- (2019) Faming Shao et al. SENSORS
- Clinical and histopathological characteristics and survival analysis of 4594 Japanese patients with melanoma
- (2019) Yasuhiro Fujisawa et al. Cancer Medicine
- Assessing the effectiveness of artificial intelligence methods for melanoma:A retrospective review
- (2019) Xiaoyu Cui et al. JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY
- Electrocardiogram Classification Based on Faster Regions with Convolutional Neural Network
- (2019) Yinsheng Ji et al. SENSORS
- Economic Evaluation of Systemic Treatments for Advanced Melanoma: A Systematic Review
- (2019) Claire Gorry et al. VALUE IN HEALTH
- Extramammary Pagetʼs Disease
- (2019) Caroline R. Morris et al. DERMATOLOGIC SURGERY
- Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms
- (2019) A. Udrea et al. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY
- Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy
- (2019) Masayoshi Yamada et al. Scientific Reports
- Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
- (2018) H A Haenssle et al. ANNALS OF ONCOLOGY
- Deep learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumor diagnosis
- (2018) Y. Fujisawa et al. BRITISH JOURNAL OF DERMATOLOGY
- Recent advancement in the early detection of melanoma using computerized tools: An image analysis perspective
- (2018) Nivedita Singh et al. SKIN RESEARCH AND TECHNOLOGY
- An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images
- (2018) Hailiang Li et al. Scientific Reports
- Melanoma
- (2018) Dirk Schadendorf et al. LANCET
- Robust Methods for Real-time Diabetic Foot Ulcer Detection and Localization on Mobile Devices
- (2018) Manu Goyal et al. IEEE Journal of Biomedical and Health Informatics
- Face Detection With Different Scales Based on Faster R-CNN
- (2018) IEEE Transactions on Cybernetics
- Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network
- (2018) Tianrui Liu et al. Frontiers in Neurorobotics
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction
- (2017) Shibiao Wan et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- A survey of deep neural network architectures and their applications
- (2017) Weibo Liu et al. NEUROCOMPUTING
- Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis
- (2017) Rahel Buechi et al. BMJ Open
- Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review
- (2015) A.P. Kassianos et al. BRITISH JOURNAL OF DERMATOLOGY
- Risk factors for delay in symptomatic presentation: a survey of cancer patients
- (2014) L J L Forbes et al. BRITISH JOURNAL OF CANCER
- Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection
- (2013) Joel A. Wolf et al. JAMA Dermatology
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started