JP7411126B2 - 時空間的アテンションモデルに基づく多時相ct画像分類システム及び構築方法 - Google Patents

時空間的アテンションモデルに基づく多時相ct画像分類システム及び構築方法 Download PDF

Info

Publication number
JP7411126B2
JP7411126B2 JP2023007862A JP2023007862A JP7411126B2 JP 7411126 B2 JP7411126 B2 JP 7411126B2 JP 2023007862 A JP2023007862 A JP 2023007862A JP 2023007862 A JP2023007862 A JP 2023007862A JP 7411126 B2 JP7411126 B2 JP 7411126B2
Authority
JP
Japan
Prior art keywords
layer
vector
attention
image
temporal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2023007862A
Other languages
English (en)
Japanese (ja)
Other versions
JP2023183367A (ja
Inventor
聞▲タオ▼ 朱
元鋒 呉
梦凡 薛
浩東 江
Original Assignee
之江実験室
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 之江実験室 filed Critical 之江実験室
Publication of JP2023183367A publication Critical patent/JP2023183367A/ja
Application granted granted Critical
Publication of JP7411126B2 publication Critical patent/JP7411126B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/048Activation functions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10081Computed x-ray tomography [CT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20021Dividing image into blocks, subimages or windows
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
JP2023007862A 2022-06-15 2023-01-23 時空間的アテンションモデルに基づく多時相ct画像分類システム及び構築方法 Active JP7411126B2 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210672853.4 2022-06-15
CN202210672853.4A CN114758032B (zh) 2022-06-15 2022-06-15 基于时空注意力模型的多相期ct图像分类系统及构建方法

Publications (2)

Publication Number Publication Date
JP2023183367A JP2023183367A (ja) 2023-12-27
JP7411126B2 true JP7411126B2 (ja) 2024-01-10

Family

ID=82336458

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2023007862A Active JP7411126B2 (ja) 2022-06-15 2023-01-23 時空間的アテンションモデルに基づく多時相ct画像分類システム及び構築方法

Country Status (2)

Country Link
JP (1) JP7411126B2 (zh)
CN (1) CN114758032B (zh)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116152246B (zh) * 2023-04-19 2023-07-25 之江实验室 一种图像识别方法、装置、设备及存储介质
CN116188469A (zh) * 2023-04-28 2023-05-30 之江实验室 一种病灶检测方法、装置、可读存储介质及电子设备
CN116206164B (zh) * 2023-05-06 2023-08-18 之江实验室 基于半监督对比学习的多相期ct分类系统及构建方法
CN117290684A (zh) * 2023-09-27 2023-12-26 南京拓恒航空科技有限公司 基于Transformer的高温干旱天气预警方法、电子设备
CN117808976B (zh) * 2024-03-01 2024-05-24 之江实验室 一种三维模型构建方法、装置、存储介质及电子设备

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019079305A (ja) 2017-10-25 2019-05-23 株式会社日立製作所 データ分析装置、データ分析方法、およびデータ分析プログラム
CN110443268A (zh) 2019-05-30 2019-11-12 杭州电子科技大学 一种基于深度学习的肝癌ct图像良性恶性分类方法
JP2020506466A (ja) 2017-05-23 2020-02-27 グーグル エルエルシー アテンションベースのシーケンス変換ニューラルネットワーク
JP2020087127A (ja) 2018-11-28 2020-06-04 国立研究開発法人産業技術総合研究所 グラフ構造を有するデータのエンコードに関するプログラム、情報処理方法及び情報処理システム
CN111539491A (zh) 2020-07-07 2020-08-14 点内(上海)生物科技有限公司 基于深度学习与注意力机制的多发性结节分类系统和方法
JP2021081921A (ja) 2019-11-18 2021-05-27 株式会社Preferred Networks データ処理装置、データ処理方法、プログラム、およびモデル
CN113902926A (zh) 2021-12-06 2022-01-07 之江实验室 一种基于自注意力机制的通用图像目标检测方法和装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11972567B2 (en) * 2018-05-29 2024-04-30 The General Hospital Corporation System and method for analyzing medical images to detect and classify a medical condition using machine-learning and a case pertinent radiology atlas
US11158048B2 (en) * 2019-06-28 2021-10-26 Shandong University Of Science And Technology CT lymph node detection system based on spatial-temporal recurrent attention mechanism
CN112287978B (zh) * 2020-10-07 2022-04-15 武汉大学 一种基于自注意力上下文网络的高光谱遥感图像分类方法
CN114399634B (zh) * 2022-03-18 2024-05-17 之江实验室 基于弱监督学习的三维图像分类方法、系统、设备及介质

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020506466A (ja) 2017-05-23 2020-02-27 グーグル エルエルシー アテンションベースのシーケンス変換ニューラルネットワーク
JP2019079305A (ja) 2017-10-25 2019-05-23 株式会社日立製作所 データ分析装置、データ分析方法、およびデータ分析プログラム
JP2020087127A (ja) 2018-11-28 2020-06-04 国立研究開発法人産業技術総合研究所 グラフ構造を有するデータのエンコードに関するプログラム、情報処理方法及び情報処理システム
CN110443268A (zh) 2019-05-30 2019-11-12 杭州电子科技大学 一种基于深度学习的肝癌ct图像良性恶性分类方法
JP2021081921A (ja) 2019-11-18 2021-05-27 株式会社Preferred Networks データ処理装置、データ処理方法、プログラム、およびモデル
CN111539491A (zh) 2020-07-07 2020-08-14 点内(上海)生物科技有限公司 基于深度学习与注意力机制的多发性结节分类系统和方法
CN113902926A (zh) 2021-12-06 2022-01-07 之江实验室 一种基于自注意力机制的通用图像目标检测方法和装置

Also Published As

Publication number Publication date
CN114758032B (zh) 2022-09-16
CN114758032A (zh) 2022-07-15
JP2023183367A (ja) 2023-12-27

Similar Documents

Publication Publication Date Title
JP7411126B2 (ja) 時空間的アテンションモデルに基づく多時相ct画像分類システム及び構築方法
Zhong et al. An attention-guided deep regression model for landmark detection in cephalograms
Ahmed et al. Using Machine Learning via Deep Learning Algorithms to Diagnose the Lung Disease Based on Chest Imaging: A Survey.
Ukwuoma et al. Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
Pang et al. Tumor attention networks: Better feature selection, better tumor segmentation
Liu et al. Unsupervised surgical instrument segmentation via anchor generation and semantic diffusion
Patro et al. SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Althobaiti et al. [Retracted] Deep Transfer Learning‐Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images
Du et al. Segmentation and visualization of left atrium through a unified deep learning framework
Khademi et al. Spatio-temporal hybrid fusion of cae and swin transformers for lung cancer malignancy prediction
Dong et al. Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification
Ly et al. New compact deep learning model for skin cancer recognition
Özbay et al. Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM
Limeros et al. GAN-based generative modelling for dermatological applications--comparative study
Rasoulian et al. Weakly supervised intracranial hemorrhage segmentation using hierarchical combination of attention maps from a swin transformer
Yong et al. Comparative study of encoder-decoder-based convolutional neural networks in cartilage delineation from knee magnetic resonance images
Toikkanen et al. ReSGAN: Intracranial hemorrhage segmentation with residuals of synthetic brain CT scans
Akash Guna et al. U-net xception: A two-stage segmentation-classification model for covid detection from lung ct scan images
Das et al. Attention-UNet architectures with pretrained backbones for multi-class cardiac MR image segmentation
US20220287647A1 (en) Disease classification by deep learning models
Bodapati Enhancing brain tumor diagnosis using a multi-architecture deep convolutional neural network on MRI scans
Maram et al. Brain tumour detection on brats 2020 using u-net
Wang et al. MSAMS-Net: accurate lung lesion segmentation from COVID-19 CT images
Shaji et al. Brain Tumor Segmentation Using Modified Double U-Net Architecture
Li et al. Feature pyramid based attention for cervical image classification

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20230123

A871 Explanation of circumstances concerning accelerated examination

Free format text: JAPANESE INTERMEDIATE CODE: A871

Effective date: 20230123

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230217

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230323

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20230622

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230822

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230905

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20231204

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20231215

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20231222

R150 Certificate of patent or registration of utility model

Ref document number: 7411126

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150