4 papers
HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction
Jie Qin, Wei Yang, Yan Su +5
In breast cancer HER2 assessment, clinical evaluation relies on combined H&E and IHC images, yet acquiring both modalities is often hindered by clinical constraints and cost. We pr…
PupiNet: Seamless OCT-OCTA Interconversion Through Wavelet-Driven and Multi-Scale Attention Mechanisms
Renzhi Tian, Jinjie Wang, Wei Yang +5
Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA) are key diagnostic tools for clinical evaluation and management of retinal diseases. Compared…
RetinaRegen: A Hybrid Model for Readability and Detail Restoration in Fundus Images
Yuhan Tang, Yudian Wang, Weizhen Li +3
Fundus image quality is crucial for diagnosing eye diseases, but real-world conditions often result in blurred or unreadable images, increasing diagnostic uncertainty. To address t…
RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
Yan Su, Qiulin Wu, Weizhen Li +2
The training of deep learning models relies on a large amount of labeled data. However, the high cost of medical labeling seriously hinders the development of deep learning in the…