公开(公告)号：US20240233122A9

公开(公告)日：2024-07-11

申请号：US18547671

申请日：2022-02-23

Applicant: DIGESTAID - ARTIFICIAL INTELLIGENCE DEVELOPMENT, LDA

Inventor： João Pedro SOUSA FERREIRA ,  Miguel José DA QUINTA E COSTA DE MASCARENHAS SARAIVA ,  Filipe Manuel VILAS BOAS SILVA ,  Manuel Guilherme GONÇALVES DE MACEDO ,  João Pedro LIMA AFONSO ,  Marco Paulo LAGES PARENTE ,  Renato Manuel NATAL JORGE ,  Tiago Filipe CARNEIRO RIBEIRO ,  Pedro Nuno VALENTE REIS PEREIRA

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30096

Abstract: The present invention relates to a computer-implemented method capable of automatically classifying and differentiating biliary lesions in images obtained from a digital cholangioscopy system, characterizing them according to their malignant potential, through the classification of pixels as a malignant lesion, or benign lesion, followed by a characterization stage and indexing of such lesions according to a set of morphologic characteristics with clinical relevance, namely the presence/absence of tumor vessels, the presence/absence of papillary projections, the presence/absence of intraductal nodules and the presence/absence of tumor masses.

公开(公告)号：US20240135540A1

公开(公告)日：2024-04-25

申请号：US18547671

申请日：2022-02-23

Applicant: DIGESTAID - ARTIFICIAL INTELLIGENCE DEVELOPMENT, LDA

Inventor： João Pedro SOUSA FERREIRA ,  Miguel José DA QUINTA E COSTA DE MASCARENHAS SARAIVA ,  Filipe Manuel VILAS BOAS SILVA ,  Manuel Guilherme GONÇALVES DE MACEDO ,  João Pedro LIMA AFONSO ,  Marco Paulo LAGES PARENTE ,  Renato Manuel NATAL JORGE ,  Tiago Filipe CARNEIRO RIBEIRO ,  Pedro Nuno VALENTE REIS PEREIRA

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30096

Abstract: The present invention relates to a computer-implemented method capable of automatically classifying and differentiating biliary lesions in images obtained from a digital cholangioscopy system, characterizing them according to their malignant potential, through the classification of pixels as a malignant lesion, or benign lesion, followed by a characterization stage and indexing of such lesions according to a set of morphologic characteristics with clinical relevance, namely the presence/absence of tumor vessels, the presence/absence of papillary projections, the presence/absence of intraductal nodules and the presence/absence of tumor masses.

公开(公告)号：US20240020829A1

公开(公告)日：2024-01-18

申请号：US18037992

申请日：2021-11-19

Applicant: DIGESTAID - ARTIFICIAL INTELLIGENCE DEVELOPMENT, LDA

Inventor： João Pedro SOUSA FERREIRA ,  Miguel José DA QUINTA E COSTA DE MASCARENHAS SARAIVA ,  Hélder Manuel CASAL CARDOSO ,  Manuel Guilherme GONCALVES DE MACEDO ,  João Pedro LIMA AFONSO ,  Ana Patricia RIBEIRO ANDRADE ,  Renato Manue NATAL JORGE ,  Marco Paulo LAGES PARENTE

IPC: G06T7/00 ,  A61B1/04

CPC classification number: G06T7/0012 ,  A61B1/041 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06T2207/30028

Abstract: The present invention relates to a computer-implemented method capable of automatically detecting small bowel and colonic ulcers and erosions in Crohn's capsule endoscopy image data, by classifying pixels as lesion or non-lesion, using a convolutional image feature extraction step followed by a classification step and indexing such lesions in the set of one or more classes.

公开(公告)号：US20230410295A1

公开(公告)日：2023-12-21

申请号：US18037980

申请日：2021-11-18

Applicant: DIGESTAID - ARTIFICIAL INTELLIGENCE DEVELOPMENT, LDA

Inventor： João Pedro SOUSA FERREIRA ,  Miguel José DA QUINTA E COSTA DE MASCARENHAS SARAIVA ,  Hélder Manuel CASAL CARDOSO ,  Manuel Guilherme GONCALVES DE MACEDO ,  João Pedro LIMA AFONSO ,  Ana Patricia RIBEIRO ANDRADE ,  Renato Manue NATAL JORGE ,  Marco Paulo LAGES PARENTE

IPC: G06T7/00 ,  G06V10/764 ,  G06V10/776 ,  G06V10/94 ,  G06V10/77 ,  G06N3/045 ,  G06N3/096

CPC classification number: G06T7/0012 ,  G06V10/764 ,  G06V10/776 ,  G06V10/945 ,  G06V10/7715 ,  G06N3/045 ,  G06N3/096 ,  G06T2207/30028 ,  G06T2207/30096 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06T2207/20092 ,  G06T2207/10068 ,  G06V2201/03 ,  A61B1/041

Abstract: The present invention relates to a computer-implemented method, capable of automatically detecting clinically relevant colonic pleomorphic lesions and blood or hematic traces in colon capsule endoscopy images, by classifying pixels as colonic pleomorphic lesions or blood or hematic traces, using a convolutional image feature extraction step followed by a classification and indexing step of such findings into a set of one or more classes.

公开(公告)号：US20240354949A1

公开(公告)日：2024-10-24

申请号：US18682332

申请日：2022-08-03

Applicant: DIGESTAID-ARTIFICIAL INTELLIGENCE DEVELOPMENT, LDA

Inventor： João Pedro SOUSA FERREIRA ,  Miguel José DA QUINTA E COSTA DE MASCARENHAS SARAIVA ,  Manuel Guilherme GONÇALVES DE MACEDO ,  Marco Paulo LAGES PARENTE ,  Renato Manuel NATAL JORGE ,  Filipe Manuel VILAS BOAS SILVA ,  Pedro Manuel GONÇALVES MOUTINHO RIBEIRO ,  Susana Isabel OLIVEIRA LOPES ,  João Pedro LIMA AFONSO ,  Tiago Filipe CARNEIRO RIBEIRO

IPC: G06T7/00 ,  G06N3/0464

CPC classification number: G06T7/0012 ,  G06N3/0464 ,  G06T2207/10068 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: The present invention relates to a computer-implemented method capable of automatically detecting pancreatic cystic both mucinous and serous in endoscopic ultrasonography image/videos data, by classifying pixels as lesion or non-lesion, using a convolutional image feature extraction step followed by a classification step and indexing such lesions in the set of one or more classes.

公开(公告)号：US20240013377A1

公开(公告)日：2024-01-11

申请号：US18037963

申请日：2021-11-18

Applicant: DIGESTAID - ARTIFICIAL INTELLIGENCE DEVELOPMENT, LDA

Inventor： João Pedro SOUSA FERREIRA ,  Miguel José DA QUINTA E COSTA DE MASCARENHAS SARAIVA ,  Hélder Manuel CASAL CARDOSO ,  Manuel Guilherme GONCALVES DE MACEDO ,  João Pedro LIMA AFONSO ,  Ana Patricia RIBEIRO ANDRADE ,  Renato Manuel NATAL JORGE ,  Marco Paulo LAGES PARENTE

IPC: G06T7/00 ,  A61B1/04

CPC classification number: G06T7/0012 ,  A61B1/041 ,  G06T2207/10068 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06T2207/30028 ,  G06T2207/30096

Abstract: The present invention relates to a computer-implemented method capable to automatically characterize small bowel lesions in capsule endoscopy images, comprising detecting small bowel lesions in medical images by classifying pixels as lesion or non-lesion, using a convolutional image feature extraction step followed by an architecture of classification and indexing into one or more classes.