Attention-based dual-path feature fusion network for automatic skin lesion segmentation
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Attention-based dual-path feature fusion network for automatic skin lesion segmentation
Authors
Keywords
-
Journal
BioData Mining
Volume 16, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-10-09
DOI
10.1186/s13040-023-00345-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease
- (2022) Yoga Advaith Veturi et al. Ophthalmology Science
- A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment
- (2020) Manoranjan Dash et al. APPLIED SOFT COMPUTING
- CCNet: Criss-Cross Attention for Semantic Segmentation
- (2020) Zilong Huang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network
- (2019) Manoranjan Dash et al. Biomedical Signal Processing and Control
- Dense pooling layers in fully convolutional network for skin lesion segmentation
- (2019) Ebrahim Nasr-Esfahani et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Squeeze-and-Excitation Networks
- (2019) Jie Hu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
- (2018) Mohammed A. Al-masni et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Segmentation of skin lesions in dermoscopy images using fuzzy classification of pixels and histogram thresholding
- (2018) Jose Luis Garcia-Arroyo et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks
- (2017) Lei Bi et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance
- (2017) Yading Yuan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Cancer statistics, 2016
- (2016) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Skin lesion image segmentation using Delaunay Triangulation for melanoma detection
- (2016) Andrea Pennisi et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Combinations of Radiation Therapy and Immunotherapy for Melanoma: A Review of Clinical Outcomes
- (2014) Christopher A. Barker et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Computerized analysis of pigmented skin lesions: A review
- (2012) Konstantin Korotkov et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Lesion detection in demoscopy images with novel density-based and active contour approaches
- (2010) Mutlu Mete et al. BMC BIOINFORMATICS
- Border detection in dermoscopy images using hybrid thresholding on optimized color channels
- (2010) Rahil Garnavi et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Lesion border detection in dermoscopy images
- (2009) M.Emre Celebi et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Border detection in dermoscopy images using statistical region merging
- (2008) M. Emre Celebi et al. SKIN RESEARCH AND TECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More