iMSCGnet: Iterative Multi-Scale Context-Guided Segmentation of Skin Lesion in Dermoscopic Images
Despite much effort has been devoted to skin lesion segmentation, the performance of existing methods is still not satisfactory enough for practical applications. The challenges may include fuzzy lesion boundary, uneven and low contrast, and variation of colors across space, which often lead to frag...
Hlavní autoři: | Yujiao Tang, Zhiwen Fang, Shaofeng Yuan, Chang'An Zhan, Yanyan Xing, Joey Tianyi Zhou, Feng Yang |
---|---|
Médium: | Článek |
Jazyk: | English |
Vydáno: |
IEEE
2020-01-01
|
Edice: | IEEE Access |
Témata: | |
On-line přístup: | https://ieeexplore.ieee.org/document/9007375/ |
Podobné jednotky
-
Robust fusion for skin lesion segmentation of dermoscopic images
Autor: Qingqing Guo, a další
Vydáno: (2023-03-01) -
Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features
Autor: Mohammad D. Alahmadi, a další
Vydáno: (2022-01-01) -
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
Autor: Manu Goyal, a další
Vydáno: (2020-01-01) -
Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm
Autor: Halil Murat Ünver, a další
Vydáno: (2019-07-01) -
Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation
Autor: Dang N.H. Thanh, a další
Vydáno: (2021-02-01)