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International Journal of Intelligent Computing in Medical Sciences & Image Processing is a peer-reviewed journal published by Taylor & Francis, covering Medical Image Segmentation Techniques, EEG and Brain-Computer Interfaces, Brain Tumor Detection and Classification.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." International Journal of Intelligent Computing in Medical Sciences & Image Processing 12 (3): 45–58.
Formats any DOI in International Journal of Intelligent Computing in Medical Sciences & Image Processing style. No sign-up. |
| Publishes research in | Medical Image Segmentation Techniques EEG and Brain-Computer Interfaces Brain Tumor Detection and Classification Heart Rate Variability and Autonomic Control Neural Networks and Applications |
| ISSN | 1931-308X |
| h-index | 12 |
| i10-index | 15 |
| Total citations | 556 |
| Top institutions publishing here | University of Hyogo |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This research paper proposes an intelligent classification technique to identify normal and abnormal slices of brain MRI data. The manual interpretation of tumor slices based on visual examination by radiologist/physician may lead to missing diagnosis when a large number of MRIs are analyzed. To avoid the human error, an automated intelligent classification system is proposed…
Abstract The aim of this paper is to assess whether objective time-course physiological responses from electroencephalogram (EEG) and electrocardiogram (ECG) can quantify stress level or not. Physiological signals were measured under emotional stress tasks using audio-visual stimuli and analyzed with a discrete Fourier transform (DFT). The results showed that beta activities in the frontal and…
Abstract This paper presents a pose measurement method of a 3D object. The proposed method utilizes an evolutionary search technique of the genetic algorithm (GA) and a fitness evaluation based on a stereo model matching whose pose is expressed by unit quaternion. To improve the dynamics of recognition, a motion-feedforward compensation method is proposed for…
Abstract A gesture interface is developed for users, such as doctors/surgeons, to browse medical images in a sterile medical environment. Avision-based gesture capture system interprets user's gestures in real-time to manipulate objects in an image visualization environment. A color distribution model of the gamut of colors of the users hand or glove is built at…
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