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Full-Text Articles in Biomedical Engineering and Bioengineering

Scientific Mapping Of Research On Digital Pulmonary Function Test: A Bibliometric Analysis, Aditya Kekre Mr., Ashutosh Desai Mr., Ashwin Sujit Mr., Dhruv Dewett Mr., Shilpa Hudnurkar Prof. Jun 2021

Scientific Mapping Of Research On Digital Pulmonary Function Test: A Bibliometric Analysis, Aditya Kekre Mr., Ashutosh Desai Mr., Ashwin Sujit Mr., Dhruv Dewett Mr., Shilpa Hudnurkar Prof.

Library Philosophy and Practice (e-journal)

Digital Pulmonary Function Test (PFT) is a non-invasive test that helps in evaluating the efficiency of a patient’s lungs. The test is key to keeping tabs on a patient’s health that may be suffering from Chronic Obstructive Pulmonary Disease, Asthma, Restrictive Respiratory Disease, etc, as pollution increases day by day in the world the amount of people getting affected from it and being diagnosed with respiratory diseases the importance of PFT continues to grow. The Scopus database has been used exclusively for this analysis. A key observation of this survey has been that engineering and medicine have gone hand in …


Breast Cancer Detection From Histopathology Images Using Machine Learning Techniques: A Bibliometric Analysis, Shubhangi A. Joshi, Anupkumar M. Bongale Dr., Arunkumar M. Bongale Dr. May 2021

Breast Cancer Detection From Histopathology Images Using Machine Learning Techniques: A Bibliometric Analysis, Shubhangi A. Joshi, Anupkumar M. Bongale Dr., Arunkumar M. Bongale Dr.

Library Philosophy and Practice (e-journal)

Computer aided diagnosis has become upcoming area of research over past few years. With the advent of machine learning and especially deep learning techniques, the scenario of work flow management in healthcare sector is changing drastically. Artificial intelligence has shown potential in the field of breast cancer care. With datasets for machine learning frameworks getting eventually richer with time, we can definitely get newer insights in the field of breast cancer care. This will help in narrowing down the treatment range for patients and increasing patient survivability. The purpose of this study was to perform bibliometric analysis of the literature …


A Brief Bibliometric Survey Of Explainable Ai In Medical Field, Nilkanth Mukund Deshpande, Shilpa Shailesh Gite Apr 2021

A Brief Bibliometric Survey Of Explainable Ai In Medical Field, Nilkanth Mukund Deshpande, Shilpa Shailesh Gite

Library Philosophy and Practice (e-journal)

Background: This study aims to analyze the work done in the field of explainability related to artificial intelligence, especially in the medical field from 2004 onwards using the bibliometric methods.

Methods: different articles based on the topic leukemia detection were retrieved using one of the most popular database- Scopus. The articles are considered from 2004 onwards. Scopus analyzer is used for different types of analysis including documents by year, source, county and so on. There are other different analysis tools such as VOSviewer Version 1.6.15. This is used for the analysis of different units such as co-authorship, co-occurrences, citation analysis …


Bibliometric Survey On Image Processing Techniques Using Lattice Boltzmann Method For Cfd Simulations, Priyambada Praharaj Mrs, Chandrakant Sonawane Dr, Madhura Ingalhalikar Dr Mar 2021

Bibliometric Survey On Image Processing Techniques Using Lattice Boltzmann Method For Cfd Simulations, Priyambada Praharaj Mrs, Chandrakant Sonawane Dr, Madhura Ingalhalikar Dr

Library Philosophy and Practice (e-journal)

This bibliometric analysis aims to understand how Lattice Boltzmann Method could be a potential solver in integrating computational fluid dynamics with image segmentation smoothly. Cardiovascular diseases have been a major health problem in our society and have been an interesting topic for researchers to focus on. Computational Fluid dynamics (CFD) simulation on well-segmented patient-specific images could help the clinicians in diagnosing many cardiovascular diseases in the initial stages itself thereby avoiding surgery. This paper focuses on how various methods have been used since 1988 and been successfully implemented in subsequent years. The bibliometric analysis is done from Scopus and the …


Bibliometric Review On Liver And Tumour Segmentation Using Deep Learning, Jayant Jagtap, Aamir Habeeb, Avinash Jha, Shrey Aggarwal, Khushi Gupta Jan 2021

Bibliometric Review On Liver And Tumour Segmentation Using Deep Learning, Jayant Jagtap, Aamir Habeeb, Avinash Jha, Shrey Aggarwal, Khushi Gupta

Library Philosophy and Practice (e-journal)

One of the major organs in the body is liver where tumors occur often. Malignant liver tumors pose a serious hazard to human life and health. Manual segmentation of the liver organ and tumor from computed tomography (CT) scans is difficult, time-consuming, and skewed to the clinician's experience, yet it is essential for hepatic surgical planning. However, due to the following considerations, segmenting liver tumors from computed tomography (CT) images is difficult: In CT pictures, the contrast between the liver tumor and healthy tissues is low, and the boundary is indistinct; the picture of the liver tumor is confusing, with …


Bibliometric Review On Applications Of Disease Detection Using Digital Image Processing Techniques, Jayant Jagtap, Rahil Sharma, Aryan Sinha, Nikhil Panda, Amulya Reddy Jan 2021

Bibliometric Review On Applications Of Disease Detection Using Digital Image Processing Techniques, Jayant Jagtap, Rahil Sharma, Aryan Sinha, Nikhil Panda, Amulya Reddy

Library Philosophy and Practice (e-journal)

Advances around the field of deep learning and cognitive computing have allowed mankind to look and solve the problems of the world in a completely new way. Deep learning has been making huge advancements in the field of healthcare, which most importantly focuses upon disease detection and disease prediction. Techniques such as these have been conceptualized the idea of early detection and economical ways of treating the predicted disease in particular. Still, it has been observed that there seems to be no change in the way diagnosis of a particular disease takes place even in the 21st generation of …


A Review Paper: Analysis Of Weka Data Mining Techniques For Heart Disease Prediction System, Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim Al-Aqbi, Lamees Abdalhasan Salman Aug 2020

A Review Paper: Analysis Of Weka Data Mining Techniques For Heart Disease Prediction System, Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim Al-Aqbi, Lamees Abdalhasan Salman

Library Philosophy and Practice (e-journal)

Data mining is characterized as searching for useful information through very large data sets. Some of the key and most common techniques for data mining are association rules, classification, clustering, prediction, and sequential models. For a wide range of applications, data mining techniques are used. Data mining plays a significant role in disease detection in the health care industry. The patient should be needed to detect a number of tests for the disease. However, the number of tests should be reduced by using data mining techniques. In time and performance, this reduced test plays an important role. Heart disease is …


A Brief Bibliometric Survey On Circularly Polarized Antennas For Mobile Communication, Aniket Gunjal, Abhaya Pal Singh Aug 2020

A Brief Bibliometric Survey On Circularly Polarized Antennas For Mobile Communication, Aniket Gunjal, Abhaya Pal Singh

Library Philosophy and Practice (e-journal)

This paper presents a database review on “Circularly Polarized Antennas for Mobile Communication” as it is the emerging technique used by mobile service provider because of having benefits over other types of antennas available.The polarization purity is now the major issue. In some cases due to cross polarization issue the antenna signal is cancelled at receiver side.So, it is necessary to have circularly polarized antenna to avoid this polarization issue because of change in phase of signal. The change in phase of signal is due to striking of wave on the obstacles and it slightly tilted from its direction causes …


Biomedical Engineering: An Exploratory Analysis Of The Field, Meredith Ayers, Nestor Osorio Jan 2020

Biomedical Engineering: An Exploratory Analysis Of The Field, Meredith Ayers, Nestor Osorio

Library Philosophy and Practice (e-journal)

Technological advances have a significant impact in medical sciences. biomedical engineering, which is a multi-faceted field that includes engineering, biology, chemistry, computer science, and several areas of the medical sciences among others, is the topic of this study. With a humble beginning over a century ago and formally created in the early years of the 1960s, biomedical engineering has become a strong, highly competitive and productive field. Its literature has worldwide coverage with an accelerated increase after 2000.

In this study, the authors explore two issues: First, what constitute the subject domain of Biomedical Engineering and second with the use …