Related references
Note: Only part of the references are listed.SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors
Yutong Xie et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation
Qiangguo Jin et al.
APPLIED SOFT COMPUTING (2021)
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Nabil Ibtehaz et al.
NEURAL NETWORKS (2020)
DSNet: Automatic dermoscopic skin lesion segmentation
Md Kamrul Hasan et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Skin Lesion Segmentation with Improved Convolutional Neural Network
Saban Ozturk et al.
JOURNAL OF DIGITAL IMAGING (2020)
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification
Yutong Xie et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Skin lesion segmentation via generative adversarial networks with dual discriminators
Baiying Lei et al.
MEDICAL IMAGE ANALYSIS (2020)
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation
Shuanglang Feng et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
Manu Goyal et al.
IEEE ACCESS (2020)
Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks
Yading Yuan et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Attention gated networks: Learning to leverage salient regions in medical images
Jo Schlemper et al.
MEDICAL IMAGE ANALYSIS (2019)
Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging
Peng Tang et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)
Dense Deconvolutional Network for Skin Lesion Segmentation
Hang Li et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Dense pooling layers in fully convolutional network for skin lesion segmentation
Ebrahim Nasr-Esfahani et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
DSM: A Deep Supervised Multi-Scale Network Learning for Skin Cancer Segmentation
Guokai Zhang et al.
IEEE ACCESS (2019)
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
H. A. Haenssle et al.
ANNALS OF ONCOLOGY (2018)
Road Extraction by Deep Residual U-Net
Zhengxin Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl et al.
SCIENTIFIC DATA (2018)
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks
Lei Bi et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance
Yading Yuan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
Colorectal cancer statistics, 2017
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2017)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Simpler, Faster, More Accurate Melanocytic Lesion Segmentation Through MEDS
Francesco Peruch et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods
M. Emre Celebi et al.
SKIN RESEARCH AND TECHNOLOGY (2013)
Unsupervised segmentation for digital dermoscopic images
Kajsa Mollersen et al.
SKIN RESEARCH AND TECHNOLOGY (2010)
Lesion border detection in dermoscopy images
M. Emre Celebi et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2009)
Accurate Segmentation of Dermoscopic Images by Image Thresholding Based on Type-2 Fuzzy Logic
M. Emin Yueksel et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)
Independent histogram pursuit for segmentation of skin lesions
David Delgado Gomez et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2008)
Border detection in dermoscopy images using statistical region merging
M. Emre Celebi et al.
SKIN RESEARCH AND TECHNOLOGY (2008)
Share Paper
