Writing Medical Articles Online for Money

The process of writing the research methodology section is examined as more important as well as difficult. It is crucial to follow several procedures and guidelines. To draft this section for a medical research article, we offer an in-depth instruction that supports you effectively:

  1. Introduction to the Methodology Phase

In order to create foundation for the methodological information, provide an introduction in a concise manner. The entire procedure and the reason for why you select some specific techniques have to be summarized in this section.

  1. Research Design

The design of the research must be defined in an in-depth way. The definition of the suitable research design such as observational, cross sectional, experimental, cohort, clinical trial, or case control should be encompassed.  For solving the research query, why this design was considered as appropriate as well as efficient has to be described. 

  1. Platform

It is important to define the location in which you carried out the study. Some of the potential places include laboratory, domain environment, hospital, or community. Based on the specific place, encompass any important information which is capable of impacting the understanding of the data or the outcomes. 

  1. Participants

For choosing the participants, the guidelines that you have followed should be explained. In what way participants were selected like convenience sampling or random sampling, and the integration and omission measures have to be encompassed.  It is crucial to indicate the demographic features, which were examined as attributes or controlled for research.

  1. Variables

All the examined attributes such as independent, dependent, or contradictory attributes must be described in an explicit manner. You should elucidate in what way these attributes were classified or assessed in the research. 

  1. Data Collection Methods

Specifically how you gathered data should be described. Laboratory tests, reviews, or biometric assessments could be involved in this. It is significant to consider the credibility and trustworthiness of the employed equipment or tools and must be particular about them. 

  1. Sample Size Calculation

By encompassing any statistical techniques that you employed specifically for assessing the required number of participants to accomplish credible outcomes, explain in what way you decided the sample size. If needed, state the aspects such as power analysis. 

  1. Analytical Techniques

For the process of data analysis, the utilized software and statistical tests must be explained thoroughly. You should describe the reason behind the selection of specific techniques. For your research query or data type, how these techniques are suitable must be elucidated. If you have conducted any predictive analyses or model fitting, address them clearly. 

  1. Moral Considerations

Any moral acceptances that are acquired for the research have to be indicated. It could include the acceptance obtained from moral communities or institutional review panels. In what way you assured data security and privacy or how formal approvals were acquired from participants must be explained.  

  1. Limitations

If any possible issues exist in the employed techniques, you should recognize them. This specifically states the major interpretation of the research design and assists to offer a framework for the discoveries. 

  1. Alterations to the Protocol

It is essential to describe if you have altered any actual research protocols. You must also offer reasons for those modifications. To evaluate the credibility of the research, this clarity is very important for viewers. 

  1. Conclusion

By outlining the major statements based on how you carried out the study, conclude the methodology phase in an interpretable manner. It is most relevant to make sure whether this phase connects to the targeted contribution to the domain and the entire objective of the research. 

What are some simple thesis titles in radiography and medical imaging CT US MRI XRAY for an undergraduate?

Generally, the thesis title must indicate its specific field and major objectives in an explicit way. Based on the field of radiology and medical imaging, including different types of clinical images such as XRAY, MRI, US, and CT, we suggest a few concise and fundamental thesis title plans:

US (Ultrasound)

  1. Ultrasound as a Diagnostic Tool in Early Detection of Rheumatoid Arthritis
  2. Assessing the Role of Ultrasound in Maternal-Fetal Medicine: A Review
  3. The Efficacy of Ultrasound-Guided Biopsies: Techniques and Outcomes

CT (Computed Tomography)

  1. Evaluating the Efficiency of Low-Dose CT Protocols in Pediatric Imaging
  2. Comparative Analysis of CT and MRI for the Diagnosis of Brain Tumors
  3. The Impact of CT Image Reconstruction Techniques on Diagnostic Accuracy


  1. Digital X-ray Imaging: Advancements and Clinical Applications
  2. A Comparative Study of X-ray vs. Ultrasound in the Diagnosis of Fractures
  3. Optimizing Radiation Dose in Pediatric X-ray Imaging

MRI (Magnetic Resonance Imaging)

  1. MRI Techniques for Early Detection of Alzheimer’s Disease: A Feasibility Study
  2. Functional MRI in Preoperative Brain Mapping: Utility and Limitations
  3. Contrast vs. Non-Contrast MRI for Soft Tissue Imaging in Sports Injuries

Multi-Modality Imaging

  1. The Role of Multi-Modality Imaging in the Management of Breast Cancer
  2. Comparative Study of MRI and Ultrasound in the Diagnosis of Liver Diseases
  3. Integrated Imaging Approaches for Comprehensive Cardiovascular Assessment

General Medical Imaging

  1. Advances in Non-Invasive Imaging Techniques for Cardiovascular Disease
  2. The Role of Imaging in the Early Diagnosis of Degenerative Brain Diseases
  3. Image Quality Assessment in Various Radiographic Techniques
Writing Medical Articles Online for Money

Writing Medical Thesis Online for Money

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  1. Image-based biomass characterization: Comparison of conventional image processing and a deep learning approach
  2. Process control of laser ablated coated surface applying an adapted image processing system
  3. A novel approach for industrial concrete defect identification based on image processing and deep convolutional neural networks
  4. Detection and counting of banana bunches by integrating deep learning and classic image-processing algorithms
  5. In-line particle size measurement during granule fluidization using convolutional neural network-aided process imaging
  6. A calculation method of phenotypic traits of soybean pods based on image processing technology
  7. Image processing-based braille document copying system as additional feature for ITS’s braille printer
  8. Low sampling rate digital dechirp for Inverse Synthetic Aperture Ladar imaging processing
  9. Towards window state detection using image processing in residential and office building facades
  10. Nonlinear analysis of shell structures using image processing and machine learning
  11. Effects of thermal comfort-driven control based on real-time clothing insulation estimated using an image-processing model
  12. Optimal design of a microbubble cap to enhance mass transfer efficiency using image processing
  13. Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training
  14. Image processing for analysis of carbon black pellet size distribution during pelletizing: Carbon black PSD (PSD: pellet size distribution) by image processing
  15. Max-product type multivariate sampling operators and applications to image processing
  16. A novel approach for Protecting monuments using digital image processing techniques
  17. A low cost surface strain measurement system using image processing for sheet metal forming applications
  18. Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation
  19. Mouse Mammary Gland Whole Mount Density Assessment across Different Morphologies Using a Bifurcated Program for Image Processing
  20. End-to-end joint optimization of metasurface and image processing for compact snapshot hyperspectral imaging


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