Computing hardware/software > Image analysis

Livecyte's Automated Tracking exposes a global research dilemma

30 July, 2021

Manually tracking cells is not as accurate as people assume and significant variability can occur from person to person.


Smartphone photos can be used to detect anaemia

27 July, 2021

A picture of a person's inner eyelid taken with a standard smartphone camera can be used to screen for anaemia, according to a new study.


Microscopy deep learning can identify viral infections

29 June, 2021

Using fluorescence images from live cells, researchers have trained an artificial neural network to recognise cells that are infected by adenoviruses or herpes viruses.


Algorithms analyse mammogram X-rays for breast cancer markers

14 May, 2021

A PhD student at the University of Canterbury has been working on computational algorithms that can automatically read and analyse mammogram X-rays.


AI can identify cancerous cells by their acidity

30 March, 2021

Researchers have developed a technique that uses machine learning to determine whether a single cell is healthy or cancerous by analysing its pH.


'Crappifier' degrades high-res images for deep learning

23 March, 2021

The crappifier takes high-quality images and computationally degrades them, so that they look something like the lowest low-resolution images available.


Advanced imaging and AI help classify child brain tumours

17 February, 2021

Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of paediatric brain tumours.


New mammogram measures to predict breast cancer risk

07 January, 2021

Researchers have found two new mammogram-based measures for breast cancer risk, which could improve the screening process and make it less stressful for women.


Brain network signature identified for depression

09 December, 2020

Using machine learning, researchers have identified distinct patterns of coordinated activity between different parts of the brain in people with major depressive disorder.


Machine learning used to map gamba grass from space

27 November, 2020

Researchers used field data to 'train' a machine-learning model to detect gamba grass from high-resolution, multispectral satellite imagery.


Impending technological innovations of AI in medical diagnostics

24 November, 2020 by Dr Ivan De Backer, Technology Analyst

Image recognition AI has the potential to revolutionise medical diagnostics, yet its current value proposition remains below the expectations of most radiologists.


MBF Bioscience NeuroInfo brain mapping software

19 November, 2020

NeuroInfo software from MBF Bioscience is used for automatically aligning serial sections and mapping brain volumes and cell counts to a standardised reference space.


The importance of quantitative cell culture for successful experiments

15 September, 2020 by Shohei Imamura*

The human eye is not good at measuring something quantitatively. Despite this, many cell culture processes today still rely on visual observation.


AI algorithm assists in diagnosing skin diseases

11 September, 2020

South Korean researchers have developed a deep learning-based artificial intelligence (AI) algorithm that can accurately classify cutaneous skin disorders.


3D neural mapping unravels complex brain networks

09 September, 2020

A new algorithm for brain imaging data analysis enables the precise and quantitative mapping of complex neural circuits onto a standardised 3D reference atlas.


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