News

AddToAny

Google+ Facebook Twitter Twitter

AI system can identify different cancer cells

Researchers in Japan have shown that an artificial intelligence (AI)-based system can identify different types of cancer cells simply by scanning microscopic images.

They claim it is able to achieve higher accuracy than humans and could play a role in the future of oncology.

The system is based on a convolutional neural network, a form of AI modelled on the human visual system. It was applied to distinguish cancer cells from mice and humans, as well as equivalent cells that had also been selected for resistance to radiation.

Hideshi Ishii, lead author of the study published in Cancer Research, said: “We first trained our system on 8,000 images of cells obtained from a phase-contrast microscope.

“We then tested its accuracy on another 2,000 images, to see whether it had learned the features that distinguish mouse cancer cells from human ones, and radioresistant cancer cells from radiosensitive ones.”

On a 2D plot of the findings, the clustering of cell types together showed that, after training, the system could correctly identify cells based on the microscopic images of them alone.

bit.ly/BS_JanNews01

Related Articles

Robotic hand with handgun aiming in wrong direction. Fatal AI error - Image credit - Shutterstock-2309476357

Tissue contamination distracts AI

In a new study, scientists trained three AI models to scan microscope slides of placenta tissue to detect blood vessel damage, estimate gestational age and classify macroscopic lesions.

Digital pathology cleared for use-history digital pathology-CREDIT-university of warwick

Digital pathology cleared for use

New research has led to the UK government approving the use of digital pathology to help speed up analysis of cancer screening samples.

Breast cancer 3D tomography-CREDIT-Science-Photo-Library-c0303374

Two decades of hHER2 testing

This year marks the 20th anniversary of Her2 breast cancer testing at the Royal Cornwall Hospital. Senior Biomedical Scientist Mary Jones looks back over the past two decades.

A molecular biologist working with a microscope in a modern scientific Laboratory, we see a computer screen in the foreground- CREDIT - istock-1390303303

Precision pathology for cancer with new ai tool

A new AI tool interprets medical images with unprecedented clarity, according to the results of a new study.

Top