iMSCGnet: Iterative Multi-Scale Context-Guided Segmentation of Skin Lesion in Dermoscopic Images

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...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän:	Yujiao Tang, Zhiwen Fang, Shaofeng Yuan, Chang'An Zhan, Yanyan Xing, Joey Tianyi Zhou, Feng Yang
Materialtyp:	Artikel
Språk:	English
Publicerad:	IEEE 2020-01-01
Serie:	IEEE Access
Ämnen:	Skin lesion segmentation multi-scale context attention deep supervision
Länkar:	https://ieeexplore.ieee.org/document/9007375/

Liknande verk

Robust fusion for skin lesion segmentation of dermoscopic images
av: Qingqing Guo, et al.
Publicerad: (2023-03-01)

Semi-Supervised Skin Lesion Segmentation With Coupling CNN and Transformer Features
av: Mohammad D. Alahmadi, et al.
Publicerad: (2022-01-01)

Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
av: Manu Goyal, et al.
Publicerad: (2020-01-01)

Skin Lesion Segmentation in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm
av: Halil Murat Ünver, et al.
Publicerad: (2019-07-01)

Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation
av: Dang N.H. Thanh, et al.
Publicerad: (2021-02-01)

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
av: Ranpreet Kaur, et al.
Publicerad: (2022-05-01)

Two-stage Skin Lesion Segmentation from Dermoscopic Images by Using Deep Neural Networks
av: Fatemeh Bagheri, et al.
Publicerad: (2020-07-01)

Enhanced U-Net architecture with CNN backbone for accurate segmentation of skin lesions in dermoscopic images
av: Aqil Aqthobirrobbany, et al.
Publicerad: (2024-08-01)

Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification
av: T. Y. Satheesha, et al.
Publicerad: (2017-01-01)

Clinical and dermoscopic assessment of patients with hypopigmented skin lesions - a cross - sectional study
av: Manisha Mareddy, et al.
Publicerad: (2023-12-01)

Progressive Weighted Self-Training Ensemble for Multi-Type Skin Lesion Semantic Segmentation
av: Cheolwon Lee, et al.
Publicerad: (2022-01-01)

Feature Selection of Non-Dermoscopic Skin Lesion Images for Nevus and Melanoma Classification
av: Felicia Anisoara Damian, et al.
Publicerad: (2020-04-01)

Automated skin lesion segmentation of dermoscopic images using GrabCut and k‐means algorithms
av: Seetharani Murugaiyan Jaisakthi, et al.
Publicerad: (2018-12-01)

Characterization of the dermoscopic features of common psoriatic lesions
av: Jun-jie LI, et al.
Publicerad: (2019-02-01)

Dermoscopic image lesion segmentation method based on deep separable convolutional network
av: Wencheng CUI, et al.
Publicerad: (2020-12-01)

3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning
av: Yiqiao Liu, et al.
Publicerad: (2024-01-01)

Semi-supervised segmentation of metastasis lesions in bone scan images
av: Qiang Lin, et al.
Publicerad: (2022-10-01)

Use of K-Means Clustering Algorithm for Lesion Segmentation in Dermoscopic Images
av: Sümeyya İLKİN, et al.
Publicerad: (2020-03-01)

Two-step-7-Pink Rule: A Practical Tool for the Dermoscopic Evaluation of Fully Amelanotic Skin Lesions
av: Riccardo Pampena, et al.
Publicerad: (2025-01-01)

A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss
av: Yali Nie, et al.
Publicerad: (2022-12-01)

Systematic literature review of dermoscopic pigmented skin lesions classification using convolutional neural network (CNN)
av: Erwin Setyo Nugroho, et al.
Publicerad: (2023-11-01)

Radiomic and deep learning analysis of dermoscopic images for skin lesion pattern decoding
av: Zheng Wang, et al.
Publicerad: (2024-08-01)

Weakly supervised training for eye fundus lesion segmentation in patients with diabetic retinopathy
av: Yu Li, et al.
Publicerad: (2022-03-01)

Erythema multiforme: A clinico-dermoscopic-histopathological correlation of evolving targetoid lesions
av: Shreya Deoghare, et al.
Publicerad: (2022-10-01)

Automatic Segmentation of Dermoscopic Images by Iterative Classification
av: Maciel Zortea, et al.
Publicerad: (2011-01-01)

MaligNet: Semisupervised Learning for Bone Lesion Instance Segmentation Using Bone Scintigraphy
av: Terapap Apiparakoon, et al.
Publicerad: (2020-01-01)

Employing the local radon transform for melanoma segmentation in dermoscopic images
av: Alireza Amoabedini, et al.
Publicerad: (2018-01-01)

Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation
av: H.H. Li, et al.
Publicerad: (2021-02-01)

Deep Learning Techniques for the Dermoscopic Differential Diagnosis of Benign/Malignant Melanocytic Skin Lesions: From the Past to the Present
av: Linda Tognetti, et al.
Publicerad: (2024-07-01)

An Intelligent Auxiliary Framework for Bone Malignant Tumor Lesion Segmentation in Medical Image Analysis
av: Xiangbing Zhan, et al.
Publicerad: (2023-01-01)

Skin Lesion Segmentation Using Recurrent Attentional Convolutional Networks
av: Peng Chen, et al.
Publicerad: (2022-01-01)

MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation
av: Gaoxiang Chen, et al.
Publicerad: (2021-12-01)

Rotation-invariant multi-contrast non-local means for MS lesion segmentation
av: Nicolas Guizard, MEng, et al.
Publicerad: (2015-01-01)

Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network
av: Kashan Zafar, et al.
Publicerad: (2020-03-01)

SL-HarDNet: Skin lesion segmentation with HarDNet
av: Ruifeng Bai, et al.
Publicerad: (2023-01-01)

HUT: Hybrid UNet transformer for brain lesion and tumour segmentation
av: Wei Kwek Soh, et al.
Publicerad: (2023-12-01)

Comparison of visual effects of immersion fluids for dermoscopic examination of acral volar melanocytic lesions
av: Tzu-Hsiu Chen, et al.
Publicerad: (2014-06-01)

Clinical and dermoscopic spectrum of age-dependent spitzoid lesions - when to react?
av: Maširević-Mudrić Iva, et al.
Publicerad: (2024-01-01)

Monitoring of Vitiligo Patches Over 6 Months to Validate Dermoscopic Findings of Lesional Stability
av: Chitra Kamath, et al.
Publicerad: (2023-10-01)

Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans
av: Wenyu Xing, et al.
Publicerad: (2024-01-01)