scholarly journals Medical Image Classification Based on Information Interaction Perception Mechanism

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wei Wang ◽  
Yihui Hu ◽  
Yanhong Luo ◽  
Xin Wang
Keyword(s):  
Colonic Polyps ◽  
Colonic Polyp ◽  
Adenomatous Polyps ◽  
Visual Fatigue ◽  
Polyp Detection ◽  
Global Average ◽  
Information Interaction ◽  
The Cost ◽  
Fully Connected ◽  
Over Time

Colorectal cancer originates from adenomatous polyps. Adenomatous polyps start out as benign, but over time they can become malignant and even lead to complications and death which will spread to adherent and surrounding organs over time, such as lymph nodes, liver, or lungs, eventually leading to complications and death. Factors such as operator’s experience shortage and visual fatigue will directly affect the diagnostic accuracy of colonoscopy. To relieve the pressure on medical imaging personnel, this paper proposed a network model for colonic polyp detection using colonoscopy images. Considering the unnoticeable surface texture of colonic polyps, this paper designed a channel information interaction perception (CIIP) module. Based on this module, an information interaction perception network (IIP-Net) is proposed. In order to improve the accuracy of classification and reduce the cost of calculation, the network used three classifiers for classification: fully connected (FC) structure, global average pooling fully connected (GAP-FC) structure, and convolution global average pooling (C-GAP) structure. We evaluated the performance of IIP-Net by randomly selecting colonoscopy images from a gastroscopy database. The experimental results showed that the overall accuracy of IIP-NET54-GAP-FC module is 99.59%, and the accuracy of colonic polyp is 99.40%. By contrast, our IIP-NET54-GAP-FC performed extremely well.

Variational Approach Based Image Pre- Processing Techniques for Virtual Colonoscopy

2011 ◽  
pp. 1340-1359
Author(s):  
Dongqing Chen ◽  
Aly A. Farag ◽  
Robert L. Falk ◽  
Gerald W. Dryden
Keyword(s):  
Colorectal Cancer ◽  
Variational Approach ◽  
Virtual Colonoscopy ◽  
Colonic Polyps ◽  
Colonic Polyp ◽  
Polyp Detection ◽  
Segmentation Accuracy ◽  
Processing Techniques ◽  
Colonic Polyp Detection ◽  
Colon Segmentation

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image preprocessing, is important for colonic polyp detection/diagnosis, feature extraction and classification. This chapter aims at an accurate and fast colon segmentation algorithm and a general variational-approach based framework for image pre-processing techniques, which include 3D colon isosurface generation and 3D centerline extraction for navigation. The proposed framework has been validated on 20 real CT Colonography (CTC) datasets. The average segmentation accuracy has achieved 96.06%, and it just takes about 5 minutes for a single CT scan of 512*512*440. All the 12 colonic polyps with sizes of 6 mm and above in the 20 clinical CTC datasets are found by this work.

Variational Approach Based Image Pre- Processing Techniques for Virtual Colonoscopy

2010 ◽  
pp. 78-101
Author(s):  
Dongqing Chen ◽  
Aly A. Farag ◽  
Robert L. Falk ◽  
Gerald W. Dryden
Keyword(s):  
Colorectal Cancer ◽  
Variational Approach ◽  
Virtual Colonoscopy ◽  
Colonic Polyps ◽  
Colonic Polyp ◽  
Polyp Detection ◽  
Segmentation Accuracy ◽  
Processing Techniques ◽  
Colonic Polyp Detection ◽  
Colon Segmentation

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image preprocessing, is important for colonic polyp detection/diagnosis, feature extraction and classification. This chapter aims at an accurate and fast colon segmentation algorithm and a general variational-approach based framework for image pre-processing techniques, which include 3D colon isosurface generation and 3D centerline extraction for navigation. The proposed framework has been validated on 20 real CT Colonography (CTC) datasets. The average segmentation accuracy has achieved 96.06%, and it just takes about 5 minutes for a single CT scan of 512*512*440. All the 12 colonic polyps with sizes of 6 mm and above in the 20 clinical CTC datasets are found by this work.

scholarly journals Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Eduardo Ribeiro ◽  
Andreas Uhl ◽  
Georg Wimmer ◽  
Michael Häfner
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Colonic Polyps ◽  
Colonic Polyp ◽  
Image Databases ◽  
Automated Classification ◽  
Network Layers ◽  
Endoscopic Image ◽  
Fully Connected

Recently, Deep Learning, especially through Convolutional Neural Networks (CNNs) has been widely used to enable the extraction of highly representative features. This is done among the network layers by filtering, selecting, and using these features in the last fully connected layers for pattern classification. However, CNN training for automated endoscopic image classification still provides a challenge due to the lack of large and publicly available annotated databases. In this work we explore Deep Learning for the automated classification of colonic polyps using different configurations for training CNNs from scratch (or full training) and distinct architectures of pretrained CNNs tested on 8-HD-endoscopic image databases acquired using different modalities. We compare our results with some commonly used features for colonic polyp classification and the good results suggest that features learned by CNNs trained from scratch and the “off-the-shelf” CNNs features can be highly relevant for automated classification of colonic polyps. Moreover, we also show that the combination of classical features and “off-the-shelf” CNNs features can be a good approach to further improve the results.

The cost of homelessness: Assessing change over time

2003 ◽  
Author(s):  
M. Spano ◽  
P. Toro ◽  
M. Goldstein
Keyword(s):  
Change Over Time ◽  
The Cost ◽  
Over Time

The Internet Trap

2018 ◽  
Author(s):  
Matthew Hindman
Keyword(s):  
The Internet ◽  
Net Neutrality ◽  
The Public ◽  
Attention Economy ◽  
Digital News ◽  
The Cost ◽  
Over Time

The Internet was supposed to fragment audiences and make media monopolies impossible. Instead, behemoths like Google and Facebook now dominate the time we spend online—and grab all the profits from the attention economy. This book explains how this happened. It sheds light on the stunning rise of the digital giants and the online struggles of nearly everyone else—and reveals what small players can do to survive in a game that is rigged against them. The book shows how seemingly tiny advantages in attracting users can snowball over time. The Internet has not reduced the cost of reaching audiences—it has merely shifted who pays and how. Challenging some of the most enduring myths of digital life, the book explains why the Internet is not the postindustrial technology that has been sold to the public, how it has become mathematically impossible for grad students in a garage to beat Google, and why net neutrality alone is no guarantee of an open Internet. It also explains why the challenges for local digital news outlets and other small players are worse than they appear and demonstrates what it really takes to grow a digital audience and stay alive in today's online economy. The book shows why, even on the Internet, there is still no such thing as a free audience.

Value-based dentistry: Putting the patient first

2016 ◽  
Vol 7 (3) ◽  
pp. 126-129 ◽  
Author(s):  
Sreenivas Koka ◽  
Galya Raz
Keyword(s):  
Risk Management ◽  
Quality Improvement ◽  
Quality Of Care ◽  
Dental Care ◽  
Time Cost ◽  
Safety Risk ◽  
The Cost ◽  
Over Time

What does ‘value’ mean? In the context of dental care, it can be defined as the quality of care received by a patient divided by the cost to the patient of receiving that care. In other words: V =Q/C, where Q equals the quality improvement over time, which most patients view in the context of the outcome, the service provided and safety/risk management, and C equals the financial, biological and time cost to the patient. Here, the need for, and implications of, value-based density for clinicians and patients alike are explored.

scholarly journals Adenomatous Polyps in Adolescent Girl and Boy: A Report of Two Cases

2016 ◽  
Vol 2016 ◽  
pp. 1-3
Author(s):  
Laleh Vahedi Larijani ◽  
Maryam Ghasemi ◽  
Hassan Karami
Keyword(s):  
Pediatric Patients ◽  
Colonic Polyps ◽  
Definitive Diagnosis ◽  
Adenomatous Polyps ◽  
Common Symptom ◽  
Tubular Adenoma ◽  
Tubulovillous Adenoma ◽  
Benign Adenoma ◽  
Juvenile Type ◽  
Rectal Hemorrhage

A polyp is defined as a mass of the mucosal surface that protrudes into the lumen of the gastrointestinal tract. Neoplastic epithelial polyps are classified histologically as either benign adenoma or malignant carcinoma. The colonic polyps that most commonly present in children occur sporadically and individually and are of the juvenile type; they are most frequently associated with painless rectal hemorrhage (which is the most common symptom). Adenomatous polyps are similar to other nontumoral polyps, and it is very rare for children to have symptoms other than rectal bleeding. This report describes two rare cases of polyps in pediatric patients. An 11-year-old girl presented with tubulovillous adenoma and a 13-year-old boy with tubular adenoma; both patients complained of rectal hemorrhage as well as anemia and abdominal pain. Epithelial adenoma is a tumor that is rarely found in adults or children. Colonoscopic perforation and biopsy are mandatory for establishing a definitive diagnosis and avoiding medical mismanagement.

Confirming Anomalies

2021 ◽  
pp. 2150024
Author(s):  
Peter Chinloy ◽  
Matthew Imes
Keyword(s):  
Capital Structure ◽  
Stock Returns ◽  
Cost Of Capital ◽  
Simultaneous Equations ◽  
Second Stage ◽  
Predicted Values ◽  
The Cost ◽  
Over Time ◽  
Identification Strategy

A procedure confirms whether a return-factor correlation is anomalous or results from endogenous simultaneous-equations bias. The identification strategy sorts the cost of capital components for instruments. In the first stage, the initially found factors are regressed on cost instruments. In the second stage, a confirmed anomaly has predicted value significant in returns and exogenous. Taxes, depreciation and capital structure are strong instruments, affecting 1980–2017 quarterly U.S. stock returns. Size, value and profitability decisions are significant in instruments. Returns increase in fitted profits, but not small size. Actual and predicted values have weaker correlation with returns over time.

Health, Longevity, and Welfare Inequality of Older Americans

2021 ◽  
pp. 1-45
Author(s):  
Ray Miller ◽  
Neha Bairoliya
Keyword(s):  
Expected Utility ◽  
Well Being ◽  
Poor Health ◽  
Cost Of Living ◽  
Cross Sectional ◽  
Older Americans ◽  
The Cost ◽  
Welfare Inequality ◽  
Health And Mortality ◽  
Over Time

Abstract We estimate the distribution of well-being among the older U.S. population using an expected utility framework that incorporates differences in consumption, leisure, health, and mortality. We find large disparities in welfare that have increased over time. Incorporating the cost of living with poor health into elderly welfare substantially increases the overall inequality. Disparity measures based on cross-sectional income or consumption underestimate the growth in aggregate welfare inequality. Moreover, health is a better indicator of an individual's relative welfare position than income or consumption.

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