Automated polyp segmentation in colonoscopy images via deep network with lesion-aware feature selection and refinement
Clinically, proper polyp localization in colonoscopy images is crucial for early diagnosis and
follow-up treatment of colorectal cancer. However, visual inspection is subjective, error …
follow-up treatment of colorectal cancer. However, visual inspection is subjective, error …
Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
The detection and removal of precancerous polyps via colonoscopy is the gold standard for
the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary …
the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary …
TransResU-Net: Transformer based ResU-Net for real-time colonoscopy polyp segmentation
Colorectal cancer (CRC) is one of the most common causes of cancer and cancer-related
mortality worldwide. Performing colon cancer screening in a timely fashion is the key to early …
mortality worldwide. Performing colon cancer screening in a timely fashion is the key to early …
[HTML][HTML] Deep learning for classification of colorectal polyps on whole-slide images
B Korbar, AM Olofson, AP Miraflor, CM Nicka… - Journal of pathology …, 2017 - Elsevier
Context: Histopathological characterization of colorectal polyps is critical for determining the
risk of colorectal cancer and future rates of surveillance for patients. However, this …
risk of colorectal cancer and future rates of surveillance for patients. However, this …
[HTML][HTML] Polyp detection on video colonoscopy using a hybrid 2D/3D CNN
Colonoscopy is the gold standard for early diagnosis and pre-emptive treatment of colorectal
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
cancer by detecting and removing colonic polyps. Deep learning approaches to polyp …
Current status and limitations of artificial intelligence in colonoscopy
A Hann, J Troya, D Fitting - UEG Journal, 2021 - Wiley Online Library
Background Artificial intelligence (AI) using deep learning methods for polyp detection
(CADe) and characterization (CADx) is on the verge of clinical application. CADe already …
(CADe) and characterization (CADx) is on the verge of clinical application. CADe already …
TransNetR: transformer-based residual network for polyp segmentation with multi-center out-of-distribution testing
Colonoscopy is considered the most effective screening test to detect colorectal cancer
(CRC) and its precursor lesions, ie, polyps. However, the procedure experiences high miss …
(CRC) and its precursor lesions, ie, polyps. However, the procedure experiences high miss …
[HTML][HTML] Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
Background Colonoscopy remains the gold-standard screening for colorectal cancer.
However, significant miss rates for polyps have been reported, particularly when there are …
However, significant miss rates for polyps have been reported, particularly when there are …
DDANet: Dual decoder attention network for automatic polyp segmentation
Colonoscopy is the gold standard for examination and detection of colorectal polyps.
Localization and delineation of polyps can play a vital role in treatment (eg, surgical …
Localization and delineation of polyps can play a vital role in treatment (eg, surgical …
An efficient approach for polyps detection in endoscopic videos based on faster R-CNN
Polyp has long been considered as one of the major etiologies to colorectal cancer which is
a fatal disease around the world, thus early detection and recognition of polyps plays an …
a fatal disease around the world, thus early detection and recognition of polyps plays an …