TSNet: Task-specific network for joint diabetic retinopathy grading and lesion segmentation of ultra-wide optical coherence tomography angiography images

Diabetic retinopathy (DR) is a common complication of diabetes which may lead to blindness. Early diagnosis can effectively prevent the deterioration of the disease and enable timely treatment. Ophthalmologists diagnose DR by observing ultra-wide optical coherence tomography angiography (UW-OCTA) im...

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Veröffentlicht in:	The Visual computer 2024-09, Vol.40 (9), p.5935-5946
Hauptverfasser:	Tang, Jixue, Wang, Xiang-ning, Yang, Xiaolong, Wen, Yang, Qian, Bo, Chen, Tingli, Sheng, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	Angiography Artificial Intelligence Automation Classification Computer Graphics Computer Science Decoders Deep learning Diabetes Diabetic retinopathy Disease Eye examinations Feature maps Image Processing and Computer Vision Image segmentation Lesions Medical diagnosis Medical imaging Medical research Optical Coherence Tomography Tomography Ultrasonic imaging
Online-Zugang:	Volltext
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