I thought this was an interesting article concerning the use of software to help Doctors analyze images captured during cystoscopy.
medicalxpress.com/news/2017-09-technique-aid-bladder-cancer-diagnosis.html
A new and innovative automated computer technique has been developed by researchers that is able to significantly aid in the diagnosis of bladder cancer.
The technique—which allows suspect lesion images to be quickly and effectively analyzed and then classified for cancer risk, has been reported in the medical journal Urologic Oncology.
"What we've done is develop a computer program to carry out an automated analysis of cystoscopy images," says lead author of the research, Dr Martin Gosnell.
"What we've done," says Dr Gosnell, "is to create an automated image analysis technique which can identify tissue and lesions as either high-risk or minimal-risk. This is beneficial on multiple levels."
"Following the analysis, high-risk diagnoses can be followed up more closely as a matter of urgent priority. Alternately, minimal-risk lesions can be identified early in the diagnostic process, reducing the number of referrals or biopsies that need to take place."
"The results from the automated system were extremely promising," says Prof Goldys.
"Using our innovative computer program, 100% of the cancerous images were detected. And all benign lesions were also successfully identified."
