Researchers from the University of Adelaide's Australian Institute for Machine Learning (AIML) are developing a fully automated medical image analysis program to detect breast tumours. The program uses a unique style to focus ...
Sep 6, 2018
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Many neurophysiological processes, such as memory, sensory perception and emotion, as well as diseases including Alzheimer's, depression and autism, are mediated by brain regions located deep beneath the cerebral cortex. ...
Jul 16, 2018
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An interdisciplinary team from the Universities of Bayreuth and Marburg has accomplished a feat that was not previously possible, even using the newest medical imaging techniques: a high-definition image of the smallest blood ...
Apr 20, 2017
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Overseen by her thesis supervisor and in collaboration with B.C. Cancer Agency scientists, a Simon Fraser University doctoral student is developing a faster, more reliable way to diagnose ovarian cancer.
Jul 31, 2015
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In the white matter of the brain in particular, large differences can be measured between the brains of people with Alzheimer's disease and those with the behavioural variant frontotemporal dementia. Neuropsychologist Christiane ...
May 7, 2015
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Technology developing at The University of Texas at El Paso (UTEP) is on track to predict if and when breast cancer will appear.
Apr 27, 2015
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Images of cancer cells buried deep in lung tissue have been used by biomedical engineers at the University of Sydney to help develop new medical imaging technologies that will assist oncologists with medical research and ...
Dec 2, 2013
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In the future, should you need complicated surgery, the surgeon will be able to prepare and even practice for the procedure on a virtual simulation of your own body or body part that needs attention.
Aug 30, 2013
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A team of researchers from the UPNA/NUP-Public University of Navarre has developed new superresolution and segmentation methods for magnetic resonance images so that they can be applied to the structural study of psychosis. ...
May 28, 2013
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The number of incorrect cancer prognoses can be halved with computerised image analysis. In three years time, the method can be used on patients with bowel cancer, ovarian cancer and prostate cancer.
Feb 6, 2013
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