公开(公告)号：US12131474B2

公开(公告)日：2024-10-29

申请号：US18571258

申请日：2023-05-24

Applicant: NANTONG UNIVERSITY

Inventor： Weiping Ding ,  Ying Sun ,  Tao Hou ,  Xinjie Shen ,  Hengrong Ju ,  Jiashuang Huang ,  Haipeng Wang ,  Tingzhen Qin ,  Yu Geng ,  Ming Li ,  Haowen Xue ,  Zhongyi Wang

IPC: G06T7/00 ,  G06T5/30 ,  G06T7/12 ,  G16H15/00

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G16H15/00 ,  G06T5/30 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041

Abstract: The present disclosure is a three-way U-Net method for accurately segmenting an uncertain boundary of a retinal blood vessel, includes: describing an uncertainty of a blood vessel boundary label, constructing an upper bound and a lower bound of the uncertain boundary based on the dilation operator and the erosion operator respectively to obtain a maximum value and a minimum value for the blood vessel boundary, and mapping the boundary with uncertain information into one range; combining an uncertainty representation of the boundary with a loss function, and designing a three-way loss function; training network parameters by adopting a stochastic gradient descent algorithm and utilizing a total loss of the three-way loss function; and designing and implements an auxiliary diagnosis application system for intelligently segmenting the retinal blood vessel with functions of the fundus data acquisition, the intelligent accurate segmentation and the auxiliary diagnosis for the retinal blood vessel.