IEEE

Generative Information-guided Heterogeneous Cross-fusion Network with Contrastive Learning for Multimodal Remote Sensing Image Classification

Abstract: Multimodal remote sensing (RS) images exhibit distinct structure and distribution characteristics, making it challenging to design an effective multimodal RS image classification algorithm.
Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
IEEE

Multimodal Deep Learning for ECG Heartbeat Classification with SHAP-Based Interpretability

Abstract: Electrocardiogram (ECG) signals serve as a critical non-invasive diagnostic tool, providing valuable insights into the electrical activity of the heart and are widely used in diagnosing ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Frontiers

AI and Imaging for Oral Cancer Diagnosis and Prognosis

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...