WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
We introduce in this paper a novel polyp localization method for colonoscopy videos. Our
method is based on a model of appearance for polyps which defines polyp boundaries in …
method is based on a model of appearance for polyps which defines polyp boundaries in …
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
Colonoscopy is the gold standard for colon cancer screening though some polyps are still
missed, thus preventing early disease detection and treatment. Several computational …
missed, thus preventing early disease detection and treatment. Several computational …
Boundary constraint network with cross layer feature integration for polyp segmentation
G Yue, W Han, B Jiang, T Zhou… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Clinically, proper polyp localization in endoscopy images plays a vital role in the follow-up
treatment (eg, surgical planning). Deep convolutional neural networks (CNNs) provide a …
treatment (eg, surgical planning). Deep convolutional neural networks (CNNs) provide a …
META-Unet: Multi-scale efficient transformer attention Unet for fast and high-accuracy polyp segmentation
H Wu, Z Zhao, Z Wang - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
Polyp segmentation plays an important role in preventing Colorectal cancer. Although Vision
Transformer has been widely introduced in medical image segmentation to compensate the …
Transformer has been widely introduced in medical image segmentation to compensate the …
Neounet: Towards accurate colon polyp segmentation and neoplasm detection
Automatic polyp segmentation has proven to be immensely helpful for endoscopy
procedures, reducing the missing rate of adenoma detection for endoscopists while …
procedures, reducing the missing rate of adenoma detection for endoscopists while …
An extensive study on cross-dataset bias and evaluation metrics interpretation for machine learning applied to gastrointestinal tract abnormality classification
Precise and efficient automated identification of gastrointestinal (GI) tract diseases can help
doctors treat more patients and improve the rate of disease detection and identification …
doctors treat more patients and improve the rate of disease detection and identification …
Blazeneo: Blazing fast polyp segmentation and neoplasm detection
In recent years, computer-aided automatic polyp segmentation and neoplasm detection
have been an emerging topic in medical image analysis, providing valuable support to …
have been an emerging topic in medical image analysis, providing valuable support to …
A coarse-to-fine segmentation frame for polyp segmentation via deep and classification features
Accurate polyp segmentation is of great significance for the diagnosis and treatment of colon
cancer. Deep convolution network can extract the common high level features of the target …
cancer. Deep convolution network can extract the common high level features of the target …
Review of computational methods for the detection and classification of polyps in colonoscopy imaging
C Sánchez-Montes, J Bernal… - … y Hepatología (English …, 2020 - Elsevier
Computer-aided diagnosis (CAD) is a tool with great potential to help endoscopists in the
tasks of detecting and histologically classifying colorectal polyps. In recent years, different …
tasks of detecting and histologically classifying colorectal polyps. In recent years, different …
Computer-aided polyp detection based on image enhancement and saliency-based selection
This paper presents a computer-aided polyp detection algorithm applicable to both
colonoscopy and wireless capsule endoscopy (WCE). The proposed system has three …
colonoscopy and wireless capsule endoscopy (WCE). The proposed system has three …