88 citations · 415 across the 18 of their papers we have counts for
6 papers · 1 filter
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading
Ziyuan Zhao, Kartik Chopra, Zeng Zeng +1
Diabetes is one of the most common disease in individuals. \textit{Diabetic retinopathy} (DR) is a complication of diabetes, which could lead to blindness. Automatic DR grading bas…
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection
Jianxi Yang, Likai Zhang, Cen Chen +5
Structural damage detection has become an interdisciplinary area of interest for various engineering fields, while the available damage detection methods are being in the process o…
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma
Kaixin Xu, Ziyuan Zhao, Jiapan Gu +5
Gene mutation prediction in hepatocellular carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine. In this paper, we tackle…
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma
Jiapan Gu, Ziyuan Zhao, Zeng Zeng +10
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and the fourth most common cause of cancer-related death worldwide. Understanding the underlying gene…
Multi-Target Deep Learning for Algal Detection and Classification
Peisheng Qian, Ziyuan Zhao, Haobing Liu +6
Water quality has a direct impact on industry, agriculture, and public health. Algae species are common indicators of water quality. It is because algal communities are sensitive t…
Deeply Supervised Active Learning for Finger Bones Segmentation
Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli +1
Segmentation is a prerequisite yet challenging task for medical image analysis. In this paper, we introduce a novel deeply supervised active learning approach for finger bones segm…