SAR Target Small Sample Recognition Based on CNN Cascaded Features and AdaBoost Rotation Forest

In view of the large demand for new coronary pneumonia covid19 image recognition samples,the recognition accuracy is not ideal.In this paper,a new coronary pneumonia positive image recognition method proposed based on small sample recognition. First, the CT image pictures are preprocessed, and the pictures are converted into the picture formats which are required for transfer learning. Secondly, perform small-sample image enhancement and expansion on the converted picture, such as miscut transformation, random rotation and translation, etc.. Then, multiple migration models are used to extract features and then perform feature fusion. Finally,the model is adjusted by fine-tuning.Then train the model to obtain experimental results. The experimental results show that our method has excellent recognition performance in the recognition of new coronary pneumonia images,even with only a small number of CT image samples.

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Research on Recognition Method of COVID-19 Images Based on Deep Learning

E3S Web of Conferences ◽

10.1051/e3sconf/202127101039 ◽

2021 ◽

Vol 271 ◽

pp. 01039

Author(s):

Dongsheng Ji ◽

Yanzhong Zhao ◽

Zhujun Zhang ◽

Qianchuan Zhao

Keyword(s):

Image Recognition ◽

Feature Fusion ◽

Recognition Accuracy ◽

Recognition Performance ◽

Small Sample ◽

Experimental Results ◽

Fine Tuning ◽

Ct Image ◽

Recognition Method ◽

Sample Recognition

In view of the large demand for new coronary pneumonia covid19 image recognition samples, the recognition accuracy is not ideal. In this paper, a new coronary pneumonia positive image recognition method proposed based on small sample recognition. First, the CT image pictures are preprocessed, and the pictures are converted into the picture formats which are required for transfer learning. Secondly, small-sample image enhancement and extension are performed on the transformed image, such as staggered transformation, random rotation and translation, etc.. Then, multiple migration models are used to extract features and then perform feature fusion. Finally,the model is adjusted by fine-tuning. Then train the model to obtain experimental results. The experimental results show that our method has excellent recognition performance in the recognition of new coronary pneumonia images, even with only a small number of CT image samples.

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Probing the ultrastructure of the mitotic and meiotic spindle in eggs: An expeditious approach based on semi-thin (0.25 μm) serial sections

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100076408 ◽

1983 ◽

Vol 41 ◽

pp. 552-555

Author(s):

Conly L. Rieder ◽

S. Bowser ◽

R. Nowogrodzki ◽

K. Ross ◽

G. Sluder

Keyword(s):

Small Sample Size ◽

Small Sample ◽

Meiotic Spindle ◽

Serial Sections ◽

Mitotic Apparatus ◽

Thin Sections ◽

Cell Cycles ◽

Ultrastructural Studies

Eggs have long been a favorite material for studying the mechanism of karyokinesis in-vivo and in-vitro. They can be obtained in great numbers and, when fertilized, divide synchronously over many cell cycles. However, they are not considered to be a practical system for ultrastructural studies on the mitotic apparatus (MA) for several reasons, the most obvious of which is that sectioning them is a formidable task: over 1000 ultra-thin sections need to be cut from a single 80-100 μm diameter egg and of these sections only a small percentage will contain the area or structure of interest. Thus it is difficult and time consuming to obtain reliable ultrastructural data concerning the MA of eggs; and when it is obtained it is necessarily based on a small sample size.We have recently developed a procedure which will facilitate many studies concerned with the ultrastructure of the MA in eggs. It is based on the availability of biological HVEM's and on the observation that 0.25 μm thick serial sections can be screened at high resolution for content (after mounting on slot grids and staining with uranyl and lead) by phase contrast light microscopy (LM; Figs 1-2).

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Large Sample and Jackknife Procedures for Small Sample Orthogonal Least Squares Inference

Communications in Statistics - Simulation and Computation ◽

10.1080/03610917508548348 ◽

1975 ◽

Vol 4 (2) ◽

pp. 193-202

Author(s):

Peter Anderson

Keyword(s):

Least Squares ◽

Small Sample ◽

Large Sample ◽

Orthogonal Least Squares

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Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽

10.1027/0227-5910/a000728 ◽

2020 ◽

pp. 1-5

Author(s):

Ruthmarie Hernández-Torres ◽

Paola Carminelli-Corretjer ◽

Nelmit Tollinchi-Natali ◽

Ernesto Rosario-Hernández ◽

Yovanska Duarté-Vélez ◽

...

Keyword(s):

Factor Structure ◽

Structural Equation ◽

Short Form ◽

Small Sample Size ◽

Small Sample ◽

Spanish Version ◽

Equation Modeling ◽

Cross Sectional ◽

Healthcare Students ◽

Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

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An Initial Investigation of Suicide Attempt Disclosures Among US Veterans

Crisis ◽

10.1027/0227-5910/a000727 ◽

2020 ◽

pp. 1-7

Author(s):

Brooke A. Ammerman ◽

Sarah P. Carter ◽

Heather M. Gebhardt ◽

Jonathan Buchholz ◽

Mark A. Reger

Keyword(s):

Suicide Attempt ◽

Mental Health Professionals ◽

Help Seeking ◽

Psychiatric Treatment ◽

Small Sample Size ◽

Romantic Partners ◽

Small Sample ◽

Professional Care ◽

Patient Disclosure ◽

Previous Suicide Attempt

Abstract. Background: Patient disclosure of prior suicidal behaviors is critical for effectively managing suicide risk; however, many attempts go undisclosed. Aims: The current study explored how responses following a suicide attempt disclosure may relate to help-seeking outcomes. Method: Participants included 37 veterans with a previous suicide attempt receiving inpatient psychiatric treatment. Veterans reported on their most and least helpful experiences disclosing their suicide attempt to others. Results: Veterans disclosed their suicide attempt to approximately eight individuals. Mental health professionals were the most cited recipient of their most helpful disclosure; romantic partners were the most common recipient of their least helpful disclosures. Positive reactions within the context of the least helpful disclosure experience were positively associated with a sense of connection with the disclosure recipient. Positive reactions within the most helpful disclosure experience were positively associated with the likelihood of future disclosure. No reactions were associated with having sought professional care or likelihood of seeking professional care. Limitations: The results are considered preliminary due to the small sample size. Conclusion: Findings suggest that while positive reactions may influence suicide attempt disclosure experiences broadly, additional research is needed to clarify factors that drive the decision to disclose a suicide attempt to a professional.

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Investigating the Dynamics of Suicidal Ideation

Crisis ◽

10.1027/0227-5910/a000464 ◽

2018 ◽

Vol 39 (1) ◽

pp. 65-69 ◽

Cited By ~ 22

Author(s):

Nina Hallensleben ◽

Lena Spangenberg ◽

Thomas Forkmann ◽

Dajana Rath ◽

Ulrich Hegerl ◽

...

Keyword(s):

Suicidal Ideation ◽

Small Sample Size ◽

Unipolar Depression ◽

Small Sample ◽

History Of ◽

Severity Of Depression ◽

Ecological Momentary ◽

Depressive Episodes ◽

Ema Method ◽

Shed Light

Abstract. Background: Although the fluctuating nature of suicidal ideation (SI) has been described previously, longitudinal studies investigating the dynamics of SI are scarce. Aim: To demonstrate the fluctuation of SI across 6 days and up to 60 measurement points using smartphone-based ecological momentary assessments (EMA). Method: Twenty inpatients with unipolar depression and current and/or lifetime suicidal ideation rated their momentary SI 10 times per day over a 6-day period. Mean squared successive difference (MSSD) was calculated as a measure of variability. Correlations of MSSD with severity of depression, number of previous depressive episodes, and history of suicidal behavior were examined. Results: Individual trajectories of SI are shown to illustrate fluctuation. MSSD values ranged from 0.2 to 21.7. No significant correlations of MSSD with several clinical parameters were found, but there are hints of associations between fluctuation of SI and severity of depression and suicidality. Limitations: Main limitation of this study is the small sample size leading to low power and probably missing potential effects. Further research with larger samples is necessary to shed light on the dynamics of SI. Conclusion: The results illustrate the dynamic nature and the diversity of trajectories of SI across 6 days in psychiatric inpatients with unipolar depression. Prediction of the fluctuation of SI might be of high clinical relevance. Further research using EMA and sophisticated analyses with larger samples is necessary to shed light on the dynamics of SI.

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Participant Reactions to Suicide-Focused Research

Crisis ◽

10.1027/0227-5910/a000650 ◽

2020 ◽

Vol 41 (5) ◽

pp. 367-374

Author(s):

Sarah P. Carter ◽

Brooke A. Ammerman ◽

Heather M. Gebhardt ◽

Jonathan Buchholz ◽

Mark A. Reger

Keyword(s):

Medical Records ◽

Research Study ◽

Small Sample Size ◽

Psychiatric Inpatient ◽

Small Sample ◽

Inpatient Unit ◽

Online Laboratory ◽

Psychiatric Inpatient Unit ◽

Before And After ◽

Participant Reactions

Abstract. Background: Concerns exist regarding the perceived risks of conducting suicide-focused research among an acutely distressed population. Aims: The current study assessed changes in participant distress before and after participation in a suicide-focused research study conducted on a psychiatric inpatient unit. Method: Participants included 37 veterans who were receiving treatment on a psychiatric inpatient unit and completed a survey-based research study focused on suicide-related behaviors and experiences. Results: Participants reported no significant changes in self-reported distress. The majority of participants reported unchanged or decreased distress. Reviews of electronic medical records revealed no behavioral dysregulation and minimal use of as-needed medications or changes in mood following participation. Limitations: The study's small sample size and veteran population may limit generalizability. Conclusion: Findings add to research conducted across a variety of settings (i.e., outpatient, online, laboratory), indicating that participating in suicide-focused research is not significantly associated with increased distress or suicide risk.

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