It stores the largely used testing protocoll for polyp segmentation: The training set includes 900 images from Kvasir-SEG and 550 images from CVC-ClinicDB. The testing set is made of the remaining images from the above cited datasets: 100 images from Kvasir-SEG, 62 images from CVC-ClinicalDB, 380 from CVC-ColonDB, 196 from ETIS-Larib and 60 from CVC-T, which is testing set for EndoScene. The test sets are stored in the folder TestDataset. There are three versions of the training set: NewTRimage, original training set without data augmentation NewTRimageDA, data augmentation proposed in "Data augmentation for deep ensembles in polyp segmentation" OLDTRimage, data augmentation used in https://arxiv.org/abs/2104.00850 The names with "...
Colorectal cancer is one of the deadliest and most widespread types of cancer in the world. Colonosc...
Polyps in the colon can turn into cancerous cells if not removed with early intervention. Deep learn...
The mAP of gastric polyp detection of different networks trained by the combination of gastric polyp...
The segmentation datasets (both training and test sets) used in https://arxiv.org/abs/2112.12955 . T...
The dataset consists of the colonoscopy images of various patients. Along with the polyp images, gro...
Early identification of a polyp in the lower gastrointestinal (GI) tract can lead to prevention of l...
Purpose: Data augmentation is a common technique to overcome the lack of large annotated databases, ...
We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era. Ov...
Abstract. Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In pr...
Colorectal cancer (CRC) is a leading cause of mortality worldwide, and preventive screening modaliti...
Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp mis...
This paper aims to describe the methodology used to develop, fine-tune and analyze a UNet model for ...
Endoscopy is a widely used clinical procedure for the detection of different diseases in internal g...
Colorectal cancer (CRC) is a leading cause of mortality worldwide, and preventive screening modaliti...
Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps...
Colorectal cancer is one of the deadliest and most widespread types of cancer in the world. Colonosc...
Polyps in the colon can turn into cancerous cells if not removed with early intervention. Deep learn...
The mAP of gastric polyp detection of different networks trained by the combination of gastric polyp...
The segmentation datasets (both training and test sets) used in https://arxiv.org/abs/2112.12955 . T...
The dataset consists of the colonoscopy images of various patients. Along with the polyp images, gro...
Early identification of a polyp in the lower gastrointestinal (GI) tract can lead to prevention of l...
Purpose: Data augmentation is a common technique to overcome the lack of large annotated databases, ...
We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era. Ov...
Abstract. Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In pr...
Colorectal cancer (CRC) is a leading cause of mortality worldwide, and preventive screening modaliti...
Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp mis...
This paper aims to describe the methodology used to develop, fine-tune and analyze a UNet model for ...
Endoscopy is a widely used clinical procedure for the detection of different diseases in internal g...
Colorectal cancer (CRC) is a leading cause of mortality worldwide, and preventive screening modaliti...
Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps...
Colorectal cancer is one of the deadliest and most widespread types of cancer in the world. Colonosc...
Polyps in the colon can turn into cancerous cells if not removed with early intervention. Deep learn...
The mAP of gastric polyp detection of different networks trained by the combination of gastric polyp...