Polyp segmentation in colonoscopy images with convolutional neural networks
YB Guo - 2019 - clok.uclan.ac.uk
The thesis looks at approaches to segmentation of polyps in colonoscopy images. The aim
was to investigate and develop methods that are robust, accurate and computationally …
was to investigate and develop methods that are robust, accurate and computationally …
Deep neural network based polyp segmentation in colonoscopy images using a combination of color spaces
Colorectal cancer (CRC) is the second leading cause of cancer death. Colorectal polyps
cause most colorectal cancer cases. Colonoscopy is considered as the most common …
cause most colorectal cancer cases. Colonoscopy is considered as the most common …
Simple and robust depth-wise cascaded network for polyp segmentation
The segmentation of the polyp region in colonoscopy images is considered difficult due to
size, texture, and color variation. To segment polyps successfully, models based on …
size, texture, and color variation. To segment polyps successfully, models based on …
Improving polyp segmentation in colonoscopy using deep learning
S Rauniyar, VK Jha, RK Jha, D Jha… - Nordic Machine …, 2021 - journals.uio.no
Colorectal cancer is one of the major causes of cancer-related deaths globally. Although
colonoscopy is considered as the gold standard for examination of colon polyps, there is a …
colonoscopy is considered as the gold standard for examination of colon polyps, there is a …
Automated Polyp Segmentation in Colonoscopy Images
S Ranjit, J Zhang, BB Karki - arXiv preprint arXiv:2404.04461, 2024 - arxiv.org
It is important to find the polyps in a human system that helps to prevent cancer during
medical diagnosis. This research discusses using a dilated convolution module along with a …
medical diagnosis. This research discusses using a dilated convolution module along with a …
Polyp segmentation with fully convolutional deep neural networks—extended evaluation study
Y Guo, J Bernal, B J. Matuszewski - Journal of Imaging, 2020 - mdpi.com
Analysis of colonoscopy images plays a significant role in early detection of colorectal
cancer. Automated tissue segmentation can be useful for two of the most relevant clinical …
cancer. Automated tissue segmentation can be useful for two of the most relevant clinical …
Fully convolutional neural networks for polyp segmentation in colonoscopy
Colorectal cancer (CRC) is one of the most common and deadliest forms of cancer,
accounting for nearly 10% of all forms of cancer in the world. Even though colonoscopy is …
accounting for nearly 10% of all forms of cancer in the world. Even though colonoscopy is …
Polyp segmentation with convolutional MLP
Y Jin, Y Hu, Z Jiang, Q Zheng - The Visual Computer, 2023 - Springer
Accurate polyp segmentation can help doctors find and resect abnormal tissue and
decrease the chances of polyps changing into colorectal cancer. The current polyp …
decrease the chances of polyps changing into colorectal cancer. The current polyp …
A Comprehensive Study For Polyp Segmentation From Colonoscopy Video Using Deep Learning Perspective
SB Borse, MS Bewoor - … Conference on ICT in Business Industry …, 2023 - ieeexplore.ieee.org
Colorectal Cancer is now one of the prominent cause of cancerous death worldwide. As its
early detection and prevention are critical tasks and depends on size and shapes of polyps …
early detection and prevention are critical tasks and depends on size and shapes of polyps …
Polyp segmentation with fully convolutional deep dilation neural network: evaluation study
Y Guo, BJ Matuszewski - … and Analysis: 23rd Conference, MIUA 2019 …, 2020 - Springer
Analyses of polyp images play an important role in an early detection of colorectal cancer.
An automated polyp segmentation is seen as one of the methods that could improve the …
An automated polyp segmentation is seen as one of the methods that could improve the …