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A Dynamic Prognostic Prediction Method for Colorectal Cancer Liver Metastasis
Wei Yang, Yiran Zhu, Yan su +3
Colorectal cancer liver metastasis (CRLM) exhibits high postoperative recurrence and pronounced prognostic heterogeneity, challenging individualized management. Existing prognostic…
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…
4D-ACFNet: A 4D Attention Mechanism-Based Prognostic Framework for Colorectal Cancer Liver Metastasis Integrating Multimodal Spatiotemporal Features
Zesheng Li, Wei Yang, Yan Su +5
Postoperative prognostic prediction for colorectal cancer liver metastasis (CRLM) remains challenging due to tumor heterogeneity, dynamic evolution of the hepatic microenvironment,…
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering
Wei Yang, Yiran Zhu, Jiayu Shen +5
Diabetic Macular Edema (DME), a prevalent complication among diabetic patients, constitutes a major cause of visual impairment and blindness. Although deep learning has achieved re…
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging
Junji Lin, Yi Zhang, Yunyue Pan +3
Detection and classification of pulmonary nodules is a challenge in medical image analysis due to the variety of shapes and sizes of nodules and their high concealment. Despite the…
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…