In this work explores the use of deep learning to classify stenosis or non-stenosis in angiogram images using convolutional neural networks from scratch. A methodology to fine-tuning network ...
Cervical intraepithelial neoplasia (CIN), also known as cervical dysplasia, is the abnormal growth of cells (neoplasia) or lesions on your outer cervix lining (intraepithelial). CIN can be detected ...
Testing for high-risk human papillomaviruses every five years – even with a self-collected sample – is the “preferred screening strategy” for cervical cancer starting at age 30 ...
Cancer Patients,Cancer Recurrence,Cervical Cancer,Cervical Cancer Patients,Cervical Carcinoma,Colposcopy,Convolutional Neural Network,Detection Of Cervical Cancer,Extreme Learning Machine,F1 ...
A study appearing in Nature Neuroscience has linked distinct neural and behavioral characteristics in autism spectrum disorder (ASD) to a simple computational principle. Centered on the "dynamic ...
The recent discovery of the sensory properties of the urothelium has triggered an intensive investigation into the importance of neural–urothelial interactions in health and disease states.
Conclusion: We initially developed deep learning algorithms that can provide clinical recommendations based on cervical spine MRI. The algorithm shows substantial consistency with experienced spine ...
The trial is open to Canadian residents with limited or no ability to use both hands due to amyotrophic lateral sclerosis (ALS) or cervical spinal cord injury. The implantation will be done at ...
Figure 5. Plain lateral roentgenogram showing sclerosis, narrowing, and osteophyte formation in the C3-4 zygapophyseal joint. Degenerative changes of the cervical spine, as seen on plain ...