Deep Learning For Enhanced Detection and Characterization Of Pulmonary Nodules-Reference-Cited by-同舟云学术

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Deep Learning For Enhanced Detection and Characterization Of Pulmonary Nodules

Published:2024-06-21 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
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Author:

Lavanya G¹,Muthulakshmi M²,Latha Manohar³,Keerthinathan A¹,Vishal Krishh P¹,Sulthana Sheba¹,Meghana Meka Kavya Uma¹

Affiliation:

1. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Chennai,India

2. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Electronics and Communication Engineering,Chennai,India

3. Rajalakshmi Engineering College,Department of Electronics and Communication Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10626349.pdf?arnumber=10626349

Reference27 articles.

1. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

2. U-Net: Convolutional Networks for Biomedical Image Segmentation

3. Management of incidental lung nodules <8 mm in diameter

4. Cancer image classification based on DenseNet model

5. A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images

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