Deep Learning-Based Lung Tumor Analysis for Enhanced Oncology Diagnostics-Reference-Cited by-同舟云学术

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Deep Learning-Based Lung Tumor Analysis for Enhanced Oncology Diagnostics

Published:2025-01-20 Issue: Volume: Page:1401-1408
ISSN:
Container-title:2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI)
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Author:

Kumari G. Rohini Phaneendra¹,Reddy G. Akhila¹,Nazarana Sk.¹,Vanaja K.¹,Snehitha V.²,Alapati Naresh³

Affiliation:

1. Vignan's Nirula Institute of Technology and Science for Women,Department of IT,Palakaluru,Guntur

2. Nirul Institute of Technology and Science for Women,Department of IT Vignan's,Palakaluru,Guntur

3. Vignan's Nirula Institute of Technology and Science for Women,Department of CSE,Palakaluru,Guntur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10893872/10893892/10894655.pdf?arnumber=10894655

Reference25 articles.

1. Identification of Lung Tumors in Nude Mice Based on the LIBS With Histogram of Orientation Gradients and Support Vector Machine

2. Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors

3. Imaging of Tumor Boundary Based on Multielements and Molecular Fragments Heterogeneity in Lung Cancer

4. Towards Non-Invasive Lung Tumor Tracking Based on Patient Specific Model of Respiratory System

5. Real-Time Markerless Tracking of Lung Tumors Based on 2-D Fluoroscopy Imaging Using Convolutional LSTM

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