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Lung_RUNET: a Segmentation Framework for Lung Nodules

2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), 2023
P. Malin Bruntha   +5 more
openaire   +1 more source

Global and Segmented Search for Lung Nodules of Different Edge Gradients

Investigative Radiology, 1980
Chest films were inspected by staff and resident radiologists for lung nodules under two viewing conditions: segmented search, in which films were divided into six sections and viewed piecemeal, and global search, in which the complete film was presented and viewed in its entirety. Nodules varied in edge gradient from sharp to fuzzy.
D P, Carmody, C F, Nodine, H L, Kundel
openaire   +2 more sources

Lung nodule segmentation using resnodnet

AIP Conference Proceedings, 2023
B. Prashanthi, S. P. Angelin Claret
openaire   +1 more source

Lung Nodule Segmentation Using Federated Active Learning

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
Andrei Tenescu   +3 more
openaire   +2 more sources

Dual Encoding Fusion for Atypical Lung Nodule Segmentation

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022
Weixin Xu 0002   +4 more
openaire   +1 more source

Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation

IEEE Transactions on Emerging Topics in Computational Intelligence, 2022
Chuansheng Zheng, Pan Zhou, Dapeng Wu
exaly  

Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning

IEEE Journal of Biomedical and Health Informatics, 2021
Weihua Liu, Zheng Zhu, Xiabi Liu
exaly  

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