公开(公告)号：US20210202089A1

公开(公告)日：2021-07-01

申请号：US16933163

申请日：2020-07-20

Applicant: Quanta Computer Inc.

Inventor： Kuei-Hong KUO ,  Hao WANG ,  Chung-Yi YANG ,  Kuan-Chieh HUANG ,  Bo-Yu LIN ,  Yi-Ting PENG ,  Ching-Chung KAO

IPC: G16H50/20 ,  G06K9/62 ,  G06K9/46 ,  G06N3/02 ,  G16H10/60 ,  G16H30/20 ,  G16H15/00 ,  G16H50/30

Abstract: The medical image recognition method includes the following steps: transmitting an accession number to a recognition module through a prediction unit; receiving an accession number and a human body image by a recognition model, and importing the human body image into a set of neural network models respectively; wherein each of the neural network models outputs at least one recognition result; the recognition module returns the recognition results to the prediction unit, and then the recognition results are stored in database.

公开(公告)号：US20210378616A1

公开(公告)日：2021-12-09

申请号：US17223605

申请日：2021-04-06

Applicant: Quanta Computer Inc. ,  Taipei Medical University

Inventor： Wing P. CHAN ,  Ai-Ling HSU ,  Kuan-Chieh HUANG ,  Yi-Ting PENG ,  Ching-Chung KAO

IPC: A61B6/00 ,  A61B6/03 ,  G06T7/00

Abstract: The present invention discloses a method and a system of vertebral compression fracture detection. The method of vertebral compression fracture detection includes: recombining a plurality of anatomical images captured in at least a spine segment of a target individual into a 3D image; using a multi-planar reconstruction method to reformat the 3D image to obtain at least one sagittal reformatted image; using a classification model to determine whether the sagittal reformatted image covers the middle section of the vertebral column or not; using a vertebral detection method to detect each vertebral body in the sagittal reformatted image covering the middle section of the vertebral column; using a keypoint localization method to localize a plurality of keypoints of each vertebral body which was detected in the sagittal reformatted image; evaluating the compression fracture grade of each vertebral body in the sagittal reformatted image.

公开(公告)号：US20220148711A1

公开(公告)日：2022-05-12

申请号：US17361718

申请日：2021-06-29

Applicant: Quanta Computer Inc.

Inventor： Kuei-Hong KUO ,  Yi-Ting PENG ,  Ching-Chung KAO ,  Ai-Ling HSU ,  Yu-Ren YANG ,  Pei-Wei SHUENG ,  Chun-You CHEN ,  Kuan-Chieh HUANG

IPC: G16H30/20 ,  G16H30/40 ,  G06T7/00

Abstract: Systems with a contouring method are provided for contouring one or more targets that correspond to specific organs and/or tumors in a three-dimensional medical image of a patient using neural networks. The contouring system includes a storage unit, a processing unit, and a plurality of modules that are computer operable. The processing unit is used to obtain the image, and then to generate one or more contouring images using a contouring method. The contouring method includes enhancing image features and improving contouring accuracy using an image preprocessing module, and extracting a plurality of multi-scale image representations and expanding these representations to one or more contouring images using a neural network-based contouring module.

公开(公告)号：US20190244095A1

公开(公告)日：2019-08-08

申请号：US15891762

申请日：2018-02-08

Applicant: QUANTA COMPUTER INC.

Inventor： Kuan-Chieh HUANG ,  Yi-Ting PENG

IPC: G06N3/08 ,  G06F17/50

CPC classification number: G06N3/08 ,  G06F17/5054 ,  G06N3/04 ,  G06N3/082 ,  G06N3/105 ,  H03K19/177

Abstract: Systems and methods for programming field programmable gate array (FPGA) devices are provided. A trained model for a deep learning process is obtained and converted to design abstraction (DA) code defining logic block circuits for programming an FPGA device. Each of these logic block circuits represents one of a plurality of modules that executes a processing step between different layers of the deep learning process.