Polyp-Net: A multimodel fusion network for polyp segmentation
Computer-aided diagnosis of disease primarily depends on proper vision-based
measurement (VBM). The traditional approach followed for diagnosis of colorectal cancer …
measurement (VBM). The traditional approach followed for diagnosis of colorectal cancer …
Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning
X Guo, N Zhang, J Guo, H Zhang, Y Hao… - Medical …, 2019 - Wiley Online Library
Purpose To automatically and efficiently segment the lesion area of the colonoscopy polyp
image, a polyp segmentation method has been presented. Methods An ensemble model of …
image, a polyp segmentation method has been presented. Methods An ensemble model of …
A self-attention based faster R-CNN for polyp detection from colonoscopy images
At present, the incidence rate of colorectal cancer (CRC) is increasing year by year. It has
always affected people's physical and mental health and quality of life. How to improve the …
always affected people's physical and mental health and quality of life. How to improve the …
CTNet: Contrastive Transformer Network for Polyp Segmentation
Segmenting polyps from colonoscopy images is very important in clinical practice since it
provides valuable information for colorectal cancer. However, polyp segmentation remains a …
provides valuable information for colorectal cancer. However, polyp segmentation remains a …
改进DeepLabv3+ 网络的肠道息肉分割方法.
王亚刚， 郗怡媛， 潘晓英 - … of Frontiers of Computer Science & …, 2020 - search.ebscohost.com
为了提高结肠镜下肠道息肉检测率, 提出了一种改进DeepLabv3+ 网络的肠道息肉分割方法.
在数据预处理阶段, 利用中值滤波的非线性滤波特性去除掉图像反光区域, 并结合Grab Cut …
在数据预处理阶段, 利用中值滤波的非线性滤波特性去除掉图像反光区域, 并结合Grab Cut …
Polyp segmentation network based on lightweight model and reverse attention mechanisms
J Long, C Yang, X Song, Z Zeng… - International Journal of …, 2024 - Wiley Online Library
Colorectal cancer is a common gastrointestinal malignancy. Early screening and
segmentation of colorectal polyps are of great clinical significance. Colonoscopy is the most …
segmentation of colorectal polyps are of great clinical significance. Colonoscopy is the most …
A multi-scale patch-based deep learning system for polyp segmentation
Colorectal cancer (CRC) is one of the deadliest forms of cancer and is on the rise. Accurate
segmentation of the precursor lesion, the polyp, can ensure the survival rate. Hence, there is …
segmentation of the precursor lesion, the polyp, can ensure the survival rate. Hence, there is …
[PDF][PDF] Hybrid segmentation approach for different medical image modalities
W El-Shafai, AA Mahmoud, ESM El-Rabaie… - Comput. Mater …, 2022 - cdn.techscience.cn
The segmentation process requires separating the image region into sub-regions of similar
properties. Each sub-region has a group of pixels having the same characteristics, such as …
properties. Each sub-region has a group of pixels having the same characteristics, such as …
A new automated polyp detection network MP-FSSD in WCE and colonoscopy images based fusion single shot multibox detector and transfer learning
M Souaidi, M El Ansari - IEEE access, 2022 - ieeexplore.ieee.org
Small polyp region detection in wireless capsule endoscopy (WCE) images is a challenging
task in computer vision owing to two major problems: its variation in terms of shape, texture …
task in computer vision owing to two major problems: its variation in terms of shape, texture …
Localization of polyps in WCE images using deep learning segmentation methods: A comparative study
Wireless capsule endoscopy (WCE) is a promising technology for the investigation of
gastrointestinal (GI) tracts. Long WCE video pose a challenge before the field experts and …
gastrointestinal (GI) tracts. Long WCE video pose a challenge before the field experts and …