MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation-Reference-Cited by-同舟云学术

MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation

Published:2022-11-30 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
language:
Short-container-title:

Author:

Khan Tariq M.¹,Arsalan Muhammad²,Robles-Kelly Antonio³,Meijering Erik¹

Affiliation:

1. School of Computer Science and Engineering, UNSW,Sydney,Australia

2. Dongguk University,Division of Electronics and Electrical Engineering,Seoul,Korea

3. Defence Science and Technology Group,Edinburgh,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10034558/10034559/10034573.pdf?arnumber=10034573

Reference59 articles.

1. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),0

2. JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic plaque segmentation;anandarup;Pattern Recognition,2017

3. Fully convolutional networks for semantic segmentation

4. Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata

5. XNOR-Net: Imagenet classification using binary convolutional neural networks;rastegari;European Conference on Computer Vision (ECCV),2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent breast cancer diagnosis with two-stage using mammogram images;Scientific Reports;2024-07-19

2. Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation;2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA);2023-11-28