CAD picks patients with TB drug resistance August 24, 2015 -- Researchers in Belarus have developed a computer-aided diagnosis (CAD) scheme that can fairly accurately predict drug resistance in tuberculosis (TB) patients. The results show that the prediction tool could potentially improve triage and care of TB patients.
CAD analysis of 3D MRI finds bladder cancer August 21, 2015 -- Researchers have built a computer-aided detection (CAD) algorithm that detects bladder cancer lesions with high sensitivity and specificity by analyzing 3D MRI images. They have unveiled the full details in the International Journal of Computer Assisted Radiology and Surgery.
3D bone segmentation displays clinical promise August 19, 2015 -- Researchers are closing in on a radiation-free alternative to intraoperative fluoroscopy in orthopedic surgery. A newly validated algorithm delivers clear bone surface images in near real-time from ultrasound images, according to a new study.
Fraunhofer MeViS creates 3D heart movie August 10, 2015 -- Advanced visualization firm Fraunhofer MeViS, headquartered in Bremen, Germany, has developed a special functional 3D heart display for this month's exhibition at Ars Electronica Center's "Deep Space 8K" experience in Linz, Austria.
CT analysis algorithm defines malignant lung nodules July 14, 2015 -- A multitasking algorithm designed to analyze CT lung cancer screening images and pick out likely malignancies, nodule volumes, as well as other characteristics at CT, delivers significant, if modest, performance improvements over that based on size alone.
Texture analysis sorts out breast cancer types July 13, 2015 -- Texture analysis of MRI breast images can reveal multiple lesion subtypes, potentially enabling different assessment and management strategies depending on lesion type, according to new Scottish-led research published in European Radiology.
Ultrasound-based CAD pinpoints thyroid nodules July 10, 2015 -- Ultrasound combined with a novel computer-aided detection (CAD) scheme can help determine whether thyroid nodules are malignant or benign, a new study has found. The research team thinks it's feasible to identify malignant lesions, based primarily on the presence and patterns of thyroid nodule calcifications.