公开(公告)号：US20240355094A1

公开(公告)日：2024-10-24

申请号：US18683595

申请日：2022-08-11

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Sergey Kastryulin ,  Alexey Chernyavskiy ,  Nicola Pezzotti

IPC: G06V10/77 ,  G06T11/00 ,  G06V10/22 ,  G06V10/46 ,  G06V10/774 ,  G06V10/98

CPC classification number: G06V10/7715 ,  G06T11/005 ,  G06V10/235 ,  G06V10/464 ,  G06V10/774 ,  G06V10/993 ,  G06V2201/03

Abstract: Disclosed herein is a medical system (100) comprising a memory (110) storing machine executable instructions (120). The memory (110) further stores a trained first machine learning module (122) trained to output in response to receiving a medical image (124) as input a saliency map (126) as output. The saliency map (126) is predictive of a distribution of user attention over the medical image (124). The medical system (100) further comprises a computational system (104). Execution of the machine executable instructions (120) causes the computational system (104) to receive a medical image (124). The medical image (124) is provided as input to the trained first machine learning module (122). In response to the providing of the medical image (124), a saliency map (126) of the medical image (124) is received as output from the trained first machine learning module (122). The saliency map (126) predicts a distribution of user attention over the medical image (124). The saliency map (126) of the medical image (124) is provided.