ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging-Reference-Cited by-同舟云学术

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ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging

Published:2024-08 Issue:8 Volume:28 Page:4751-4760
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Lan Tianzhong¹^ORCID,Zeng Fanxin²^ORCID,Yi Zhang¹^ORCID,Xu Xiuyuan¹^ORCID,Zhu Min³^ORCID

Affiliation:

1. Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China

2. Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, China

3. Vision Computing Laboratory, College of Computer Science, Sichuan University, Chengdu, China

Funder

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Key Research and Development Program of Sichuan Province

Science and Technology Department of Sichuan Province

Key Research Support Project of Chengdu City

Key Research Project of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10625760/10533427.pdf?arnumber=10533427

Reference44 articles.

1. The TP53 Database: transition from the International Agency for Research on Cancer to the US National Cancer Institute

2. DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images

3. SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching

4. NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

5. SANet: A Slice-Aware Network for Pulmonary Nodule Detection

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