Related references
Note: Only part of the references are listed.ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation
Xiaozhong Tong et al.
DIAGNOSTICS (2021)
Microscopic melanoma detection and classification: A framework of pixel-based fusion and multilevel features reduction
Amjad Rehman et al.
MICROSCOPY RESEARCH AND TECHNIQUE (2020)
Melanoma Diagnosis Using Deep Learning and Fuzzy Logic
Shubhendu Banerjee et al.
DIAGNOSTICS (2020)
Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model
Kai Hu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering
Nudrat Nida et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2019)
Step-wise integration of deep class-specific learning for dermoscopic image segmentation
Lei Bi et al.
PATTERN RECOGNITION (2019)
Automatic skin lesion segmentation by coupling deep fully convolutional networks and shallow network with textons
Lei Zhang et al.
JOURNAL OF MEDICAL IMAGING (2019)
An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification
M. Attique Khan et al.
BMC CANCER (2018)
A survey on automated melanoma detection
Erdem Okur et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)
Evaluation of three machine learning models for self-referral decision support on low back pain in primary care
Wendy Oude Nijeweme-d'Hollosy et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2018)
Deep learning ensembles for melanoma recognition in dermoscopy images
N. C. F. Codella et al.
IBM JOURNAL OF RESEARCH AND DEVELOPMENT (2017)
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Lequan Yu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
Development of a clinically oriented system for melanoma diagnosis
Catarina Barata et al.
PATTERN RECOGNITION (2017)
Colorectal cancer statistics, 2017
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2017)
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
Marios Anthimopoulos et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
DEEP FEATURES TO CLASSIFY SKIN LESIONS
Jeremy Kawahara et al.
2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) (2016)
MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images
Ioannis Giotis et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Fast Edge Detection Using Structured Forests
Piotr Dollar et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features
Catarina Barata et al.
IEEE SYSTEMS JOURNAL (2014)
An ensemble classification approach for melanoma diagnosis
Gerald Schaefer et al.
MEMETIC COMPUTING (2014)
A two-stage approach for discriminating melanocytic skin lesions using standard cameras
Pablo G. Cavalcanti et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Selective Search for Object Recognition
J. R. R. Uijlings et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2013)
Automatic Imaging System With Decision Support for Inspection of Pigmented Skin Lesions and Melanoma Diagnosis
Jose Fernandez Alcon et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2009)
Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images
Margarida Silveira et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2009)
Skin lesion classification using relative color features
Yue Iris Cheng et al.
SKIN RESEARCH AND TECHNOLOGY (2008)
A relative color approach to color discrimination for malignant melanoma detection in dermoscopy images
R. Joe Stanley et al.
SKIN RESEARCH AND TECHNOLOGY (2007)
Automated melanoma recognition
H Ganster et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2001)
Image enhancement via adaptive unsharp masking
A Polesel et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2000)