Attention Convolutional U-Net for Automatic Liver Tumor Segmentation-Reference-Cited by-同舟云学术

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Attention Convolutional U-Net for Automatic Liver Tumor Segmentation

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Frontiers of Information Technology (FIT)
language:
Short-container-title:

Author:

Bibi Asima¹,Khan Muhammad Salman²

Affiliation:

1. IIPL National Center of Artificial Intelligence University of Engineering and Technology,Artificial Intelligence in Healthcare,Department of Computer System Engineering,Peshawar,Pakistan

2. IIPL National Center of Artificial Intelligence University of Engineering and Technology,Artificial Intelligence in Healthcare,Department of Electrical Engineering (JC),Peshawar,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9701367/9701368/09701383.pdf?arnumber=9701383

Reference24 articles.

1. MR-based synthetic CT generation using a deep convolutional neural network method

2. Detection-aided liver lesion segmentation using deep learning;bellver,2017

3. Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation;yuan,2017

4. Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method

5. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

Cited by 1 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. Comparison of image pre-processing methods in liver segmentation task;2022 15th International Conference on Human System Interaction (HSI);2022-07-28

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