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An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis.

S. Li, J. Qiu, Y. Huang, X. Tang, and T. Ye. Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)

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Yijin Zhang

Josef Huang

Pa Huang

Yuejun Huang

Haitao Huang

Other publications of authors with the same name

CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification.S. Li, F. Zhang, T. Wei, L. Lin, Y. Huang, P. Cheng, and X. Tang. MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 303-313. Springer, (2023)Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment.J. Chen, L. Lin, P. Cheng, Y. Huang, and X. Tang. ISBI, page 1-5. IEEE, (2023)Lesion2void: Unsupervised Anomaly Detection in Fundus Images.Y. Huang, W. Huang, W. Luo, and X. Tang. ISBI, page 1-5. IEEE, (2022)Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer.W. Huang, X. Wang, Y. Huang, F. Lin, and X. Tang. EMBC, page 471-474. IEEE, (2022)BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images.L. Lin, Z. Wang, J. Wu, Y. Huang, J. Lyu, P. Cheng, J. Wu, and X. Tang. MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 65-75. Springer, (2021)I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining.P. Cheng, L. Lin, Y. Huang, J. Lyu, and X. Tang. MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 87-96. Springer, (2021)Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.Y. Huang, L. Lin, P. Cheng, J. Lyu, and X. Tang. MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 113-123. Springer, (2021)FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification.Y. Huang, P. Cheng, R. Tam, and X. Tang. CoRR, (2024)SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model.N. Yu, Z. Cai, Y. Huang, and X. Tang. TAI4H, volume 14812 of Lecture Notes in Computer Science, page 109-122. Springer, (2024)Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images.Z. Wang, Y. Huang, J. Lyu, P. Cheng, and X. Tang. ISICDM, page 126-129. ACM, (2020)

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Disambiguation of "Huang, Yijin"

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An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis.

Please choose a person to relate this publication to

Yijin Zhang

Josef Huang

Pa Huang

Yuejun Huang

Haitao Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Yijin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis.

Please choose a person to relate this publication to

Yijin Zhang

Josef Huang

Pa Huang

Yuejun Huang

Haitao Huang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis.