Related references
Note: Only part of the references are listed.Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation
Duwei Dai et al.
MEDICAL IMAGE ANALYSIS (2022)
AFLN-DGCL: Adaptive Feature Learning Network with Difficulty-Guided Curriculum Learning for skin lesion segmentation
Peng Tang et al.
APPLIED SOFT COMPUTING (2021)
Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images
Guangzhou An et al.
SCIENTIFIC REPORTS (2021)
A survey on incorporating domain knowledge into deep learning for medical image analysis
Xiaozheng Xie et al.
MEDICAL IMAGE ANALYSIS (2021)
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review
Mohamed A. Kassem et al.
DIAGNOSTICS (2021)
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
Julia Hoehn et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2021)
Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images
Catarina Andrade et al.
JOURNAL OF IMAGING (2021)
Skin Lesion Segmentation with Improved Convolutional Neural Network
Saban Ozturk et al.
JOURNAL OF DIGITAL IMAGING (2020)
Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations
Stephanie Chan et al.
DERMATOLOGY AND THERAPY (2020)
Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach
Rui Li et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification
Peng Tang et al.
IEEE Journal of Biomedical and Health Informatics (2020)
Multimodal Machine Learning: A Survey and Taxonomy
Tadas Baltrusaitis et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets
Jeremy Kawahara et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging
Peng Tang et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)
Fusing fine-tuned deep features for skin lesion classification
Amirreza Mahbod et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
Rethinking Skin Lesion Segmentation in a Convolutional Classifier
Jack Burdick et al.
JOURNAL OF DIGITAL IMAGING (2018)
A feature fusion system for basal cell carcinoma detection through data-driven feature learning and patient profile
P. Kharazmi et al.
SKIN RESEARCH AND TECHNOLOGY (2018)
Multimodal skin lesion classification using deep learning
Jordan Yap et al.
EXPERIMENTAL DERMATOLOGY (2018)
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl et al.
SCIENTIFIC DATA (2018)
Deep Multimodal Learning A survey on recent advances and trends
Dhanesh Ramachandram et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Lequan Yu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Skin Cancer: Epidemiology, Disease Burden, Pathophysiology, Diagnosis, and Therapeutic Approaches
Zoe Apalla et al.
DERMATOLOGY AND THERAPY (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)