Optimizing lesion detection in small-bowel capsule endoscopy: from present problems to future solutions
This review presents issues pertaining to lesion detection in small-bowel capsule
endoscopy (SBCE). The use of prokinetics, chromoendoscopy, diagnostic yield indicators …
endoscopy (SBCE). The use of prokinetics, chromoendoscopy, diagnostic yield indicators …
Efficient gastrointestinal disease classification using pretrained deep convolutional neural network
Gastrointestinal (GI) tract diseases are on the rise in the world. These diseases can have
fatal consequences if not diagnosed in the initial stages. WCE (wireless capsule endoscopy) …
fatal consequences if not diagnosed in the initial stages. WCE (wireless capsule endoscopy) …
[HTML][HTML] Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images
As a powerful analytic tool for medical image analysis, particularly for endoscopic image
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …
Discriminative joint-feature topic model with dual constraints for WCE classification
Wireless capsule endoscopy (WCE) enables clinicians to examine the digestive tract without
any surgical operations, at the cost of a large amount of images to be analyzed. The main …
any surgical operations, at the cost of a large amount of images to be analyzed. The main …
Computer vision algorithm for barley kernel identification, orientation estimation and surface structure assessment
PM Szczypiński, P Zapotoczny - Computers and electronics in agriculture, 2012 - Elsevier
This paper presents an algorithm for analyzing barley kernel images to evaluate cereal grain
quality and perform grain classification. The input data comprised digital images of kernels …
quality and perform grain classification. The input data comprised digital images of kernels …
Survey of computer vision and machine learning in gastrointestinal endoscopy
AS Vemuri - arXiv preprint arXiv:1904.13307, 2019 - arxiv.org
This paper attempts to provide the reader a place to begin studying the application of
computer vision and machine learning to gastrointestinal (GI) endoscopy. They have been …
computer vision and machine learning to gastrointestinal (GI) endoscopy. They have been …
[PDF][PDF] Software engineering applications in gastroenterology
DK Iakovidis - Glob. J. Gastroenterol. Hepatol, 2014 - researchgate.net
Software engineering enables the construction of reliable services, which in the field of
medicine can be regarded as crucial components of today's clinical practice. This paper …
medicine can be regarded as crucial components of today's clinical practice. This paper …
[PDF][PDF] Komputerowa analiza obrazów z endoskopu bezprzewodowego dla diagnostyki medycznej
PM Szczypiński - qmazda.p.lodz.pl
Jednym z badań medycznych stosowanych w diagnostyce chorób przewodu pokarmowego
jest bezprzewodowa endoskopia kapsułkowa. Wynikiem badania jest film, którego …
jest bezprzewodowa endoskopia kapsułkowa. Wynikiem badania jest film, którego …
[图书][B] Komputerowa analiza obrazów z endoskopu bezprzewodowego dla diagnostyki medycznej
PM Szczypiński - 2012 - eletel.p.lodz.pl
Jednym z badań medycznych stosowanych w diagnostyce chorób przewodu pokarmowego
jest bezprzewodowa endoskopia kapsułkowa. Wynikiem badania jest film, którego …
jest bezprzewodowa endoskopia kapsułkowa. Wynikiem badania jest film, którego …