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 …
A comprehensive review of deep learning in colon cancer
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …
attracted attention with its achievements in progressing medical image analysis …
Colonformer: An efficient transformer based method for colon polyp segmentation
Identifying polyps is challenging for automatic analysis of endoscopic images in computer-
aided clinical support systems. Models based on convolutional networks (CNN) …
aided clinical support systems. Models based on convolutional networks (CNN) …
Video polyp segmentation: A deep learning perspective
We present the first comprehensive video polyp segmentation (VPS) study in the deep
learning era. Over the years, developments in VPS are not moving forward with ease due to …
learning era. Over the years, developments in VPS are not moving forward with ease due to …
Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Automatic detection and classification of colorectal polyps by transferring low-level CNN features from nonmedical domain
R Zhang, Y Zheng, TWC Mak, R Yu… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although
polypectomy at early stage reduces CRC incidence, 90% of the polyps are small and …
polypectomy at early stage reduces CRC incidence, 90% of the polyps are small and …
Endora: Video Generation Models as Endoscopy Simulators
Generative models hold promise for revolutionizing medical education, robot-assisted
surgery, and data augmentation for machine learning. Despite progress in generating 2D …
surgery, and data augmentation for machine learning. Despite progress in generating 2D …
Ophnet: A large-scale video benchmark for ophthalmic surgical workflow understanding
Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery,
and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and …
and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and …
Unsupervised reverse domain adaptation for synthetic medical images via adversarial training
To realize the full potential of deep learning for medical imaging, large annotated datasets
are required for training. Such datasets are difficult to acquire due to privacy issues, lack of …
are required for training. Such datasets are difficult to acquire due to privacy issues, lack of …
[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …