Computer more accurate than human ? Really ?

Computer more accurate than human ? Really ?

Computer more accurate than human ? Really ?

Computer scientists and pathologists at Stanford University now has a computer method that you can see samples of tissue and diagnose breast cancer more exactly than a human doctor. The method, called C-Path (Pathology Informatics), and even go a step further and identified the cellular structure of a historicallyin the past unknown, which can be used by computers and humans to improve diagnosis and prognosis of breast cancer patients in the future.

Since 1928, tissue samples have been screened for breast cancer by hand. Pathologists examining the tumor under the microscope and by measuring some feature rings, can produce a correct diagnosis and prognosis for the patient. C-Path to replace humans look under the microscope and the use of computer vision for indications of the same type of cancer. Furthermore - and this is what makes the journey in C is as correct - to see a sizable number of people diagnosed with the sample, the method studied. For example, a feature that human doctors to look for is the speed at which the tumor cells divide by mitosis - through learning, the C-Path have found that mitosis is not the most correct indicator.

C-Path imagesLearning tumors also allowed C-path to discover a used cancer-related factors - Mobile 6642 total - which is then used to diagnose and predict the new cancer patients more exactly than a human doctor. of the indicators related to the stroma (connective tissue between cells) is a new discovery - in other words, the learning method automated C-only way to save lives from breast cancer patients around the globe countless .

Beyond the immediate implications - Hospitals around the globe has to get their hands on the path C-ASAP - Stanford researchers are excited about what this means for the analysis and understanding of cancer in general. "Through machine learning, they think of a more comprehensive type of cancer as a complex method and not lots of malignant cells in the tumor," said Matt van de Rijn, co-author of the article. There is also the tantalizing possibility that C-path may be able to foretell the effectiveness of different cancer treatment - a task that computer simulations are highlighted in.

Finally, C-Path can bring advanced medicine to the house - or for developing and third world countries. Cancer is over cause of death in Western countries, without health, but imagine in the event you have a C-machine route in each town or city. The coup de grace, however, is that the C-path may even be trained to detect pre-cancerous cells, can help men and ladies to prevent cancer in the first place.