Home Health Adelaide Uni scientists develop program to spot breast cancer
Gabriel Maicas Suso: "Our research shows that this unique approach is 1.78 times faster in finding a lesion than existing methods of detecting breast cancer." Gabriel Maicas Suso: "Our research shows that this unique approach is 1.78 times faster in finding a lesion than existing methods of detecting breast cancer." Supplied

A fully-automated program to analyse medical images with the aim of detecting breast tumours is being developed by researchers from the University of Adelaide's Australian Institute for Machine Learning.

A statement from the University said the program, along with an MRI scan, could use artificial intelligence and use the traversal movement and style of a retro video game to examine the breast area.

The program was developed by doctoral candidate Gabriel Maicas Suso and Associate Professor Gustavo Carneiro.

“Just as [the] vintage video game Tetris manipulated geometric shapes to fit a space, this program uses a green square to navigate and search over the breast image to locate lesions. The square changes to red in colour if a lesion is detected,” said Maicas Suso.

“Our research shows that this unique approach is 1.78 times faster in finding a lesion than existing methods of detecting breast cancer, and the results are just as accurate."

Maicas Suso and Carneiro "created the program by applying deep reinforcement learning methods, a form of artificial intelligence that enables computers and machines to learn how to do complex tasks without being programmed by humans. As a result, the program can independently analyse breast tissue", the statement said.

Both succeeded in training the program using a relatively small amount of data - a critical challenge in medical imaging.

“By incorporating machine learning into medical imaging analysis, we have developed a program that intuitively locates lesions quickly and accurately,” said Carneiro.

“More research is needed before the program could be used clinically. Our ultimate aim is for this detection method to be used by radiologists to complement, support and assist their important work in making a precise and quick prognosis.

“Artificial intelligence has an important role to play in the imaging medical field, the potential to use AI in this field is boundless."

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Sam Varghese

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Sam Varghese has been writing for iTWire since 2006, a year after the sitecame into existence. For nearly a decade thereafter, he wrote mostly about free and open source software, based on his own use of this genre of software. Since May 2016, he has been writing across many areas of technology. He has been a journalist for nearly 40 years in India (Indian Express and Deccan Herald), the UAE (Khaleej Times) and Australia (Daily Commercial News (now defunct) and The Age). His personal blog is titled Irregular Expression.

 

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