AUTOMATIC DETECTION AND DIFFERENTIATION/CLASSIFICATION OF THE ESOPHAGUS, STOMACH, SMALL BOWEL AND COLON LESIONS IN DEVICE-ASSISTED ENTEROSCOPY USING A CONVOLUTIONAL NEURONAL NETWORK

AUTOMATIC DETECTION AND DIFFERENTIATION/CLASSIFICATION OF THE ESOPHAGUS, STOMACH, SMALL BOWEL AND COLON LESIONS IN DEVICE-ASSISTED ENTEROSCOPY USING A CONVOLUTIONAL NEURONAL NETWORK

The present invention relates to a computer-implemented method capable of automatically detecting esophageal, stomach, small bowel and colon lesions, such as blood or hematic residues, small bowel ulcers and erosions, small bowel protruding and vascular lesions in device-assisted enteroscopy image/v...

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Hauptverfasser: DA QUINTA E COSTA DE MASCARENHAS SARAIVA, Miguel, CASAL CARDOSO, Hélder Manuel, LAGES PARENTE, Marco Paulo, RIBEIRO ANDRADE, Ana Patrícia, GONÇALVES DE MACEDO, Manuel Guilherme, SOUSA FERREIRA, João Pedro, CARNEIRO RIBEIRO, Tiago Filipe, LIMA AFONSO, João Pedro, MOREIRA SÁ CARDOSO, Pedro Marílio, NATAL JORGE, Renato Manuel
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:The present invention relates to a computer-implemented method capable of automatically detecting esophageal, stomach, small bowel and colon lesions, such as blood or hematic residues, small bowel ulcers and erosions, small bowel protruding and vascular lesions in device-assisted enteroscopy 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.