A research team has created a system that uses a convolutional neural network to learn the features distinguishing different cancer cells, based on images from a phase-contrast microscope. This system accurately differentiated human and mouse cancer cells, as well as their radioresistant clones. This novel approach can improve the speed and accuracy of cancer diagnosis by avoiding the laboriousness and potential errors associated with equivalent analyses by humans.
Cancer cells distinguished by artificial intelligence-based system
Related Posts
Order Antibiotics online
June 8, 2024Buying antibiotics online
June 8, 2024How do antibiotics work?
June 8, 2024Flagyl: a beacon of hope in the fight against trichomoniasis
February 17, 2024
About admin
Now Dr. Jack Straw is in charge of the website, and organizes it so that medical care is available to everyone. In addition, he is an active member of the medical community, regularly attending international conferences and sharing his experience and knowledge.
Dr. Straw is not only a medical professional and website manager, but also a loving husband and father of his beautiful children.
View all posts by admin →