Search
Search Results
-
ResNet
In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with the purpose of solving the...
-
Polyp Segmentation in Colonoscopy Images
With respect to polyp segmentation, two different types of data will be provided: Standard-Definition (SD, 574...
-
Clinical Context for Intelligent Systems in Colonoscopy
Colorectal cancer (CRC) is the third most common cancer in both sexes and the second leading cause of death in the world (Bray et al. 2018)....
-
Technical Context for Intelligent Systems in Colonoscopy
We present in this chapter some of the current available methodologies that have been published for the before mentioned tasks as well as an...
-
Wireless Capsule Endoscopy Image Analysis
The Computer-Assisted Diagnosis for Capsule Endoscopy Database (CAD-CAP) is a French national multicenter database approved by the French Data...
-
Polyp Detection in Colonoscopy Videos
We introduced in GIANA 2017 and 2018 challenges CVC-VideoClinicDB database, which is composed of 38 short and long sequences extracted from routinary...
-
AECNN: Adversarial and Enhanced Convolutional Neural Networks
The proposed method for segmenting gastrointestinal polyps from colonoscopy images uses an adversarial and enhanced convolutional neural networks...
-
Technical Context for Wireless Capsule Endoscopy Image Analysis
As said before, WCE has rapidly become the standard minimally invasive method for visualization of the Small Bowel (SB) which is highly difficult to...
-
Hand Crafted Method: ROI Selection and Texture Description
The method presented here had been developed to be integrated in a System on Chip (SoC) implemented in a Wireless Capsule Endoscopy (WCE) (Swain...
-
Computer-Aided Analysis of Gastrointestinal Videos
This book opens with an introduction to the main purpose and tasks of the GIANA challenge, as well as a summary and an analysis of the results and...
-
TernausNet
In this work we evaluate four different deep architectures for segmentation: U-Net Ronneberger et al. (2015), two modifications of TernausNet...
-
Polyp Segmentation in Colonoscopy Images
We show in Table 22.1 the results obtained by the different teams when dealing with the segmentation of SD images. Several conclusions can be...
-
Multi-scale Ensemble of ResNet Variants
Residual learning has become a staple in the deep learning community due to its simple yet effective design. ResNets have been successfully employed...
-
Polyp Detection in Colonoscopy Videos
We present in this section results of the polyp detection and localization subchallenges, part of GIANA challenge. We will first make a separate...
-
Combination of Color-Based Segmentation, Markov Random Fields and Multilayer Perceptron
Angioectasias are lesions characterized by specific features, related to their color and shape. Since the high prevalence of angioectasias in the...
-
Regression-Based Convolutional Neural Network with a Tracker
An automatic colonic polyp localization algorithm named RYCO is developed to tackle the challenges of precise polyp location indication together with...
-
Region-Based Convolutional Neural Network for Polyp Detection and Segmentation
For polyp detection, we adapt a Faster R-CNN (Ren et al. 2015) architecture shown in Fig. 11.1. Faster R-CNN has two stages: region proposal network...
-
Clinical Context for Wireless Capsule Endoscopy Image Analysis
Wireless Capsule Endoscopy (WCE) takes the form of a pill equipped with a CCD or CMOS sensor, two batteries, and a RF (radiofrequency) transmitter...
-
Multi-resolution Multi-task Network and Polyp Tracking
Usually, different convolutional neural networks (CNN) are designed for different tasks and trained separately. However, the same convolutional...
-
Wireless Capsule Endoscopy Image Analysis
As explained in previous chapters, in 2017 and 2018, an evolution of the tasks of GIANA challenge related to WCE was proposed. More precisely, in...