Convolutional Neural Networks for Predictive Modeling of Lung Disease
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Abstract (arXiv)
In this paper, Pro-HRnet-CNN, an innovative model combining HRNet and void-convolution techniques, is proposed for disease prediction under lung imaging. Through the experimental comparison on the authoritative LIDC-IDRI dataset, we found that compared with the traditional ResNet-50, Pro-HRnet-CNN showed better performance in the feature extraction and recognition of small-size nodules, significantly improving the detection accuracy. Particularly within the domain of detecting smaller targets, the model has exhibited a remarkable enhancement in accuracy, thereby pioneering an innovative avenue for the early identification and prognostication of pulmonary conditions.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 16 of its 27 references that are in the map. First posted on arXiv 8 Aug 2024.
Builds on
16 of 27 references.
References · 16
- 2024Survival Prediction Across Diverse Cancer Types Using Neural Networkscited by 80
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- 2024Application of Computer Deep Learning Model in Diagnosis of Pulmonary Nodulescited by 7
- 2024Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Techniquecited by 7
4 more
- 2024Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learningcited by 6
- 2024Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technologycited by 6
- 2024Research on Optimization of Natural Language Processing Model Based on Multimodal Deep Learningcited by 5
- 2024Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learningcited by 5
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Citing papers per year: 2024: 7.
7 papers.
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- 2024Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classificationcited by 11
- 2024Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentationcited by 10
- 2024Automated Genre-Aware Article Scoring and Feedback Using Large Language Modelscited by 7
- 2024Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systemscited by 5
- 2024Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification19 Nov 2024
- 2024Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation6 Nov 2024
- 2024Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks23 Oct 2024
- 2024Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems18 Oct 2024
- 2024Automated Genre-Aware Article Scoring and Feedback Using Large Language Models18 Oct 2024
- 2024Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation17 Oct 2024
- 2024Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm16 Oct 2024