ChestXFusionNet: A Multimodal Deep Learning Framework for Predicting Chest Diseases from X-ray Images and Clinical Data
The growing availability of multimodal healthcare data has opened new avenues for developing intelligent systems capable of early and accurate disease prediction. This study presents the design and development of a robust multimodal deep learning system aimed at predicting diseases using clinical an...
Saved in:
| Main Authors: | Shimbre Nivedita, Solanki Ram Kumar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01059.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic segmentation of chest X-ray images via deep-improved various
U-Net techniques
by: Sedat Orenc, et al.
Published: (2025-08-01) -
Bibliometric analysis of deep learning in chest X-ray imaging research
by: Xia-Xuan HUANG, et al.
Published: (2023-04-01) -
Semantic Lung Segmentation from Chest X-ray Images Using Seg-Net Deep CNN Model
by: Dathar Abas Hasan, et al.
Published: (2023-10-01) -
Artificial intelligence for chest X-ray image enhancement
by: Liming Song, et al.
Published: (2025-02-01) -
Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images
by: Jovito Colin, et al.
Published: (2025-01-01)