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Special Edition of COVID-19

Current Issue

April-June 2023| Vol 13| Issue 2

ORIGINAL ARTICLE

Demarcating Z-line and gastric folds boundary based on the segmentation of the lower esophageal sphincter images

Background and Objective: The endoscopic diagnosis of pathological changes in the gastroesophageal junction including esophagitis and Barrett's mucosa is based on the visual detection of ...


ORIGINAL ARTICLE

Single-ended and differentially operated microwave microfluidic sensors for biomedical applications

Background: This research is focused on the design of highly sensitive microfluidic sensors for the applications in liquid dielectric characterizations including biomedical samples. Method...


ORIGINAL ARTICLE

Automatic choroidal segmentation in optical coherence tomography images based on curvelet transform and graph theory

Background: Automatic segmentation of the choroid on optical coherence tomography (OCT) images helps ophthalmologists in diagnosing eye pathologies. Compared to manual segmentations, it is fa...


ORIGINAL ARTICLE

Automatic diagnosis of stage of COVID-19 patients using an ensemble of transfer learning with convolutional neural networks based on computed tomography images

Background: Diagnosis of the stage of COVID-19 patients using the chest computed tomography (CT) can help the physician in making decisions on the length of time required for hospitalization ...


ORIGINAL ARTICLE

Automatic diagnosis of COVID-19 pneumonia using artificial intelligence deep learning algorithm based on lung computed tomography images

Background: The lung computed tomography (CT) scan contains valuable information and patterns that provide the possibility of early diagnosis of COVID-19 disease as a global pandemic by the i...


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ISSN - Print: NA,
Online: 2228-7477

Journal of Medical Signals & Sensors, a publication of Isfahan University of Medical Sciences, is a peer-reviewed online Quarterly journal.

Features of Manuscript Management System

  • Online submission
  • Wider visibility through open access
  • Higher impact
  • Prompt review

Abstracting and Indexing Information

The journal is registered with the following abstracting partners:
Baidu Scholar, Biological Abstracts, BIOSIS Previews, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris Primo Central, Google Scholar, Hinari, Infotrieve, Netherlands ISSN centre, ProQuest, TDNet, Wanfang Data

The journal is indexed with, or included in, the following:
DOAJ, Emerging Sources Citation Index, PubMed Central, Scimago Journal Ranking, SCOPUS