-
1.
公开(公告)号:US20230195839A1
公开(公告)日:2023-06-22
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
CPC classification number: G06K9/6257 , G06K9/6232 , G06K9/6201
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.
-
公开(公告)号:US20210192728A1
公开(公告)日:2021-06-24
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.
-