scholarly journals OC15.04: Accuracy of three-dimensional contrast hysterosonography in diagnosis and classification of uterine congenital anomalies

2009 ◽  
Vol 34 (S1) ◽  
pp. 29-29
Author(s):  
E. Faivre ◽  
H. Fernandez ◽  
X. Deffieux ◽  
A. Gervaise ◽  
J. Levaillant
Keyword(s):  
Congenital Anomalies ◽  
Three Dimensional ◽  
Diagnosis And Classification

scholarly journals Correlation between three dimensional multi-slice sonohysterography and hysteroscopy in the diagnosis and classification of submucous myomas

2010 ◽  
Vol 15 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Sherif M.M. Negm ◽  
Rasha A. Kamel ◽  
Mohamad Momtaz ◽  
Ahmed M. Magdi ◽  
Hamdy S. Azab
Keyword(s):  
Three Dimensional ◽  
Diagnosis And Classification

Accuracy of three-dimensional ultrasound in diagnosis and classification of congenital uterine anomalies

2009 ◽  
Vol 92 (2) ◽  
pp. 808-813 ◽  
Author(s):  
Tullio Ghi ◽  
Paolo Casadio ◽  
Marina Kuleva ◽  
Anna Myriam Perrone ◽  
Luca Savelli ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Uterine Anomalies ◽  
Diagnosis And Classification

The Role of Three-Dimensional Endoanal Ultrasound on Diagnosis and Classification of Sphincter Defects After Childbirth

2019 ◽  
Vol 244 ◽  
pp. 382-388 ◽  
Author(s):  
Patricia Tejedor ◽  
Javier Plaza ◽  
Ignacio Bodega-Quiroga ◽  
Mario Ortega-López ◽  
Damián García-Olmo ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Endoanal Ultrasound ◽  
Sphincter Defects ◽  
Diagnosis And Classification

Occipitocervical Dislocation

2018 ◽  
pp. 21-30
Author(s):  
Alexander B. Dru ◽  
Daniel J. Hoh
Keyword(s):  
Computed Tomography ◽  
Decision Making ◽  
Three Dimensional ◽  
Postoperative Management ◽  
Dimensional Reconstruction ◽  
Diagnosis And Classification ◽  
X Ray Computed ◽  
Board Review ◽  
Tomography Scan

This chapter covers the presentation, diagnosis, operative decision-making, surgical procedure, postoperative management, and evidence/outcomes of patients who have sustained atlanto-occipital dislocation (AOD). The format of the chapter walks the reader through the case in a logical manner with each section containing questions and oral board review pearls that are directly answered in the text. Each section has a combination of radiographic (x-ray, computed tomography scan, and three-dimensional reconstruction) and illustrative imaging to aid in the diagnosis and classification of AOD. This chapter is designed to provide residents or board-eligible neurosurgeons with an up-to-date review of this condition for both written and oral board certification.

Phonetic iconicity in the evaluative morphology of a sample of Indo-European, Niger-Congo and Austronesian languages

2010 ◽  
Vol 3 (2) ◽  
pp. 156-180 ◽  
Author(s):  
Renáta Gregová ◽  
Lívia Körtvélyessy ◽  
Július Zimmermann
Keyword(s):  
Three Dimensional ◽  
Sound Symbolism ◽  
Three Dimensional Model ◽  
Austronesian Languages ◽  
Place Of Articulation ◽  
European Languages ◽  
Phonetic Symbolism ◽  
The Individual ◽  
Core Vocabulary

Universals Archive (Universal #1926) indicates a universal tendency for sound symbolism in reference to the expression of diminutives and augmentatives. The research ( Štekauer et al. 2009 ) carried out on European languages has not proved the tendency at all. Therefore, our research was extended to cover three language families – Indo-European, Niger-Congo and Austronesian. A three-step analysis examining different aspects of phonetic symbolism was carried out on a core vocabulary of 35 lexical items. A research sample was selected out of 60 languages. The evaluative markers were analyzed according to both phonetic classification of vowels and consonants and Ultan's and Niewenhuis' conclusions on the dominance of palatal and post-alveolar consonants in diminutive markers. Finally, the data obtained in our sample languages was evaluated by means of a three-dimensional model illustrating the place of articulation of the individual segments.

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

Depression

2017 ◽  
Author(s):  
Philip Cowen
Keyword(s):  
International Classification Of Diseases ◽  
Behavioural Therapy ◽  
Historical Background ◽  
Cognitive Behavioural ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Diagnosis And Classification ◽  
Modern Experience ◽  
Symptoms And Signs

This chapter discusses the symptomatology, diagnosis, and classification of depression. It begins with a brief historical background on depression, tracing its origins to the classical term ‘melancholia’ that describes symptoms and signs now associated with modern concepts of the condition. It then considers the phenomenology of the modern experience of depression, its diagnosis in the operational scheme of ICD-10 (International Classification of Diseases, tenth edition), and current classificatory schemes. It looks at the symptoms needed to meet the criteria for ‘depressive episode’ in ICD-10, as well as clinical features of depression with ‘melancholic’ features or ‘somatic depression’ in ICD-10. It also presents an outline of the clinical assessment of an episode of depression before concluding with an overview of issues that need to be taken into account when addressing approaches to treatment, including cognitive behavioural therapy and the administration of antidepressants.

Diagnoses, Dimensions, and DSM-5

2010 ◽  
pp. 254-279
Author(s):  
Thomas A. Widiger ◽  
Maryanne Edmundson
Keyword(s):  
Substance Use ◽  
Mental Disorders ◽  
Paradigm Shift ◽  
Empirical Support ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Dimensional Classification ◽  
Diagnosis And Classification

The Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) is often said to have provided a significant paradigm shift in how psychopathology is diagnosed. The authors of DSM-5 have the empirical support and the opportunity to lead the field of psychiatry to a comparably bold new future in diagnosis and classification. The purpose of this chapter is to address the validity of the categorical and dimensional models for the classification and diagnosis of psychopathology. Considered in particular will be research concerning substance use disorders, mood disorders, and personality disorders. Limitations and concerns with respect to a dimensional classification of psychopathology are also considered. The chapter concludes with a recommendation for a conversion to a more quantitative, dimensional classification of psychopathology.

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