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公开(公告)号：US11379980B2
公开(公告)日：2022-07-05
申请号：US17097632
申请日：2020-11-13
Inventor： Fangxin Shang , Yehui Yang , Lei Wang , Yanwu Xu
Abstract: The present application discloses an image processing method, an apparatus, an electronic device and a storage medium. A specific implementation is: acquiring an image to be processed; acquiring a grading array according to the image to be processed and a grading network model, where the grading network model is a model pre-trained according to mixed samples, the number of elements contained in the grading array is C−1, C is the number of lesion grades, C lesion grades include one lesion grade without lesion and C−1 lesion grades with lesion, and a kth element in the grading array is a probability of a lesion grade corresponding to the image to be processed being greater than or equal to a kth lesion grade, where 1≤k≤C−1, and k is an integer; determining the lesion grade corresponding to the image to be processed according to the grading array.
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公开(公告)号：US12026230B2
公开(公告)日：2024-07-02
申请号：US17555723
申请日：2021-12-20
Inventor： Binghong Wu , Yehui Yang , DaLu Yang , Yanwu Xu , Lei Wang , Qian Li
IPC: G06K9/62 , G06F18/213 , G06F18/214 , G06F18/22
CPC classification number: G06F18/2148 , G06F18/213 , G06F18/22
Abstract: Technical solutions relate to the field of artificial intelligence such as deep learning, computer vision and intelligent imaging. A method may includes during training of a one-stage object detecting model, acquiring values of a loss function corresponding to feature maps at different scales respectively in the case that classification loss calculation is required, and the loss function is a focal loss function; and determining a final value of the loss function according to the acquired values of the loss function, and training the one-stage object detecting model according to the final value of the loss function.
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