Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images-Reference-Cited by-同舟云学术

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Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images

Published:2021-10-14 Issue: Volume: Page:
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Arulappan Anisha¹^ORCID,Thankaraj Ajith Bosco Raj²^ORCID

Affiliation:

1. Department of Computer Science and Engineering St. Xavier's Catholic College of Engineering Chunkankadai Nagercoil Tamil Nadu India

2. Department of Electronics and Communication Engineering PSN College of Engineering and Technology Melathediyoor Tirunelveli Tamil Nadu India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22663

Reference44 articles.

1. Liver neoplasms: imaging characterization;Tiferes DA;RadiologiaBrasileira,2008

2. OlivaMR SainiS.Liver cancer imaging: role of CT MRI US and PET Cancer imaging.2004;4 Spec No A:S42.

3. Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography

4. Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier

5. Automatic Segmentation of Liver Tumor in CT Images with Deep Convolutional Neural Networks

Cited by 4 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. MAPFUNet: Multi-attention Perception-Fusion U-Net for Liver Tumor Segmentation;Journal of Bionic Engineering;2024-06-18

2. Image convolution techniques integrated with YOLOv3 algorithm in motion object data filtering and detection;Scientific Reports;2024-04-01

3. Hyperparameter-optimized Cross Patch Attention (CPAM) UNET for accurate ischemia and hemorrhage segmentation in CT images;Signal, Image and Video Processing;2023-10-14

4. CPAD-Net: Contextual parallel attention and dilated network for liver tumor segmentation;Biomedical Signal Processing and Control;2023-01

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