公开(公告)号：US20220351347A1

公开(公告)日：2022-11-03

申请号：US17652667

申请日：2022-02-25

Applicant: California Institute of Technology ,  Washington University

Inventor： Changhuei Yang ,  Cheng Shen ,  Richard J. Cote ,  Siddarth Rawal

IPC: G06T5/50 ,  G06T7/00

Abstract: Computational refocusing-assisted deep learning methods, apparatus, and systems are described. In certain pathology examples, a representative image is generated using a machine learning model trained with uniformly focused training images generated by a Fourier ptychographic digital refocusing procedure and abnormalities are automatedly identified and/or enumerated based on the representative image.

公开(公告)号：US20240353665A1

公开(公告)日：2024-10-24

申请号：US18622740

申请日：2024-03-29

Applicant: California Institute of Technology

Inventor： Ruizhi Cao ,  Cheng Shen ,  Changhuei Yang

IPC: G02B21/10 ,  G02B21/16 ,  G02B21/36 ,  H04N23/56 ,  H04N23/81

CPC classification number: G02B21/10 ,  G02B21/16 ,  G02B21/365 ,  H04N23/56 ,  H04N23/81

Abstract: Embodiments pertain to angular ptychographic imaging with closed-form imaging methods. computer products and imaging systems.

公开(公告)号：US20230027723A1

公开(公告)日：2023-01-26

申请号：US17859500

申请日：2022-07-07

Applicant: California Institute of Technology ,  Cambridge Enterprise Limited

Inventor： Cheng Shen ,  Changhuei Yang ,  Adiyant Lamba ,  Magdalena D. Zernicka-Goetz

IPC: G06N3/08 ,  G06N3/04 ,  G06V10/82 ,  G06T7/00

Abstract: Disclosed herein include systems, devices, and methods for detecting embryo polarization from a 2D image generated from a 3D image of an embryo that is not fluorescently labeled using a convolutional neural network (CNN), e.g., deep CNN.

公开(公告)号：US12299570B2

公开(公告)日：2025-05-13

申请号：US17859500

申请日：2022-07-07

Applicant: California Institute of Technology ,  Cambridge Enterprise Limited

Inventor： Cheng Shen ,  Changhuei Yang ,  Adiyant Lamba ,  Magdalena D. Zernicka-Goetz

IPC: G06N3/08 ,  G06N3/045 ,  G06T7/00 ,  G06V10/82

Abstract: Disclosed herein include systems, devices, and methods for detecting embryo polarization from a 2D image generated from a 3D image of an embryo that is not fluorescently labeled using a convolutional neural network (CNN), e.g., deep CNN.

公开(公告)号：US12198300B2

公开(公告)日：2025-01-14

申请号：US17652667

申请日：2022-02-25

Applicant: California Institute of Technology ,  Washington University

Inventor： Changhuei Yang ,  Cheng Shen ,  Richard J. Cote ,  Siddarth Rawal

IPC: G06T5/50 ,  G06T7/00

Abstract: Computational refocusing-assisted deep learning methods, apparatus, and systems are described. In certain pathology examples, a representative image is generated using a machine learning model trained with uniformly focused training images generated by a Fourier ptychographic digital refocusing procedure and abnormalities are automatedly identified and/or enumerated based on the representative image.