Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
Software for enhanced video capsule endoscopy: challenges for essential progress
DK Iakovidis, A Koulaouzidis - Nature Reviews Gastroenterology & …, 2015 - nature.com
Video capsule endoscopy (VCE) has revolutionized the diagnostic work-up in the field of
small bowel diseases. Furthermore, VCE has the potential to become the leading screening …
small bowel diseases. Furthermore, VCE has the potential to become the leading screening …
Application of convolutional neural networks for automated ulcer detection in wireless capsule endoscopy images
Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging
task. Typically, these images suffer from low contrast, complex background, variations in …
task. Typically, these images suffer from low contrast, complex background, variations in …
Automated classification of histopathology images using transfer learning
M Talo - Artificial intelligence in medicine, 2019 - Elsevier
Early and accurate diagnosis of diseases can often save lives. Diagnosis of diseases from
tissue samples is done manually by pathologists. Diagnostics process is usually time …
tissue samples is done manually by pathologists. Diagnostics process is usually time …
Wireless capsule endoscopy bleeding images classification using CNN based model
Wireless capsule endoscopy (WCE) is an efficient tool to investigate gastrointestinal tract
disorders and perform painless imaging of the intestine. Despite that, several concerns …
disorders and perform painless imaging of the intestine. Despite that, several concerns …
[HTML][HTML] MultiNet: A deep neural network approach for detecting breast cancer through multi-scale feature fusion
Breast cancer diagnosis from biopsy tissue images conducted manually by pathologists is
costly, time-consuming, and disagreements among specialists. Nowadays, the advancement …
costly, time-consuming, and disagreements among specialists. Nowadays, the advancement …
Content-based processing and analysis of endoscopic images and videos: A survey
In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …
and minimally invasive surgery. Since then, various research communities with manifold …
Multi-scale context-guided deep network for automated lesion segmentation with endoscopy images of gastrointestinal tract
Accurate lesion segmentation based on endoscopy images is a fundamental task for the
automated diagnosis of gastrointestinal tract (GI Tract) diseases. Previous studies usually …
automated diagnosis of gastrointestinal tract (GI Tract) diseases. Previous studies usually …
Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition
Accurate recognition of polyps is crucial for early colorectal cancer diagnosis and treatment.
Wireless capsule endoscopy (WCE) is a noninvasive, wireless imaging tool that allows …
Wireless capsule endoscopy (WCE) is a noninvasive, wireless imaging tool that allows …
[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 …