Development of Ultrasound Imaging CAD Tool for Assessment of Pathologies in Supraspinatus Tendon

2016 ◽  
pp. 220-261
Author(s):  
Rishu Gupta ◽  
Irraivan Elamvazuthi ◽  
John George
Keyword(s):  
Supraspinatus Tendon ◽  
Ultrasound Images ◽  
Medical Work ◽  
Non Invasive ◽  
Computer Aided ◽  
Cad Tool ◽  
Intuitive User Interface ◽  
Aided Diagnosis ◽  
Shape And Size

Non-invasive diagnostic imaging methods for diagnosis of pathological conditions is increasingly gaining popularity resulting from speedy and effective recovery during follow up in several clinical trials. The accuracy of the diagnosis depends on the experience and knowledge of physicians conducting the trial. In such scenario, the need for quantitative measures for details such as shape and size of tissue can assist physicians for better intuitive understanding of tissue and its pathologies. Computer aided diagnosis (CAD) tool incorporating methods for segmentation, texture analysis and area computation can increase the accuracy of diagnosis by providing quantitative analysis of the image. This chapter briefly describes issues and challenges for building the CAD tool followed by brief description about the methods involved. The methods are validation are also discussed briefly. To summarize the work, brief discussion about a new software or CAD tool for diagnosis of pathologies supraspinatus tendon with the help of ultrasound images is provided. The new software has an intuitive user interface which is easy, quick and suitable for medical work.

Development of Ultrasound Imaging CAD Tool for Assessment of Pathologies in Supraspinatus Tendon

2017 ◽  
pp. 614-654
Author(s):  
Rishu Gupta ◽  
Irraivan Elamvazuthi ◽  
John George
Keyword(s):  
Supraspinatus Tendon ◽  
Ultrasound Images ◽  
Medical Work ◽  
Non Invasive ◽  
Computer Aided ◽  
Cad Tool ◽  
Intuitive User Interface ◽  
Aided Diagnosis ◽  
Shape And Size

Non-invasive diagnostic imaging methods for diagnosis of pathological conditions is increasingly gaining popularity resulting from speedy and effective recovery during follow up in several clinical trials. The accuracy of the diagnosis depends on the experience and knowledge of physicians conducting the trial. In such scenario, the need for quantitative measures for details such as shape and size of tissue can assist physicians for better intuitive understanding of tissue and its pathologies. Computer aided diagnosis (CAD) tool incorporating methods for segmentation, texture analysis and area computation can increase the accuracy of diagnosis by providing quantitative analysis of the image. This chapter briefly describes issues and challenges for building the CAD tool followed by brief description about the methods involved. The methods are validation are also discussed briefly. To summarize the work, brief discussion about a new software or CAD tool for diagnosis of pathologies supraspinatus tendon with the help of ultrasound images is provided. The new software has an intuitive user interface which is easy, quick and suitable for medical work.

Computer-aided diagnosis system for breast ultrasound images using deep learning

2019 ◽  
Vol 64 (23) ◽  
pp. 235013 ◽  
Author(s):  
Hiroki Tanaka ◽  
Shih-Wei Chiu ◽  
Takanori Watanabe ◽  
Setsuko Kaoku ◽  
Takuhiro Yamaguchi
Keyword(s):  
Deep Learning ◽  
Computer Aided Diagnosis ◽  
Breast Ultrasound ◽  
Ultrasound Images ◽  
Diagnosis System ◽  
Computer Aided ◽  
Aided Diagnosis

Evaluation of a deep learning‐based computer‐aided diagnosis system for distinguishing benign from malignant thyroid nodules in ultrasound images

2020 ◽  
Vol 47 (9) ◽  
pp. 3952-3960 ◽  
Author(s):  
Chao Sun ◽  
Yukang Zhang ◽  
Qing Chang ◽  
Tianjiao Liu ◽  
Shaohang Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Thyroid Nodules ◽  
Computer Aided Diagnosis ◽  
Ultrasound Images ◽  
Diagnosis System ◽  
Computer Aided ◽  
Aided Diagnosis

Developing and Using Computational Frameworks to Conduct Numerical Analysis and Calculate Temperature Profiles and to Classify Breast Abnormalities

2021 ◽  
pp. 230-249
Author(s):  
Kamila Fernanda F. da C. Queiroz ◽  
Marcus Costa de Araújo ◽  
Nadja Accioly Espíndola ◽  
Ladjane C. Santos ◽  
Francisco G. S. Santos ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Texture Mapping ◽  
Computational Framework ◽  
Classification Framework ◽  
Graphical Interfaces ◽  
Computer Aided ◽  
Framework Approach ◽  
Cad Tool ◽  
User Friendly ◽  
Aided Diagnosis

In this chapter, computational tools that have been designed to analyze and classify infrared (IR) images will be presented. The function of such tools is to interconnect in a user-friendly way the algorithms that are used to map temperatures and to classify some breast pathologies. One of these performs texture mapping using IR breast images to relate temperatures measured to the points over the substitute tridimensional geometry mesh. Another computer-aided diagnosis (CAD) tool was adapted so that it could be used to evaluate individual patients. This methodology will be used when the computational framework approach for classification is described. Finally, graphical interfaces and their functionalities will be presented and explained. Some case studies will be presented in order to verify whether or not the computational classification framework is effective.

Sign in / Sign up

Export Citation Format

Share Document