The automated segmentation of organs in abdominal CT images facilitates physicians in comprehending the spatial distribution of organs and aids in the diagnosis and treatment of diseases. The kidney ...

Integrating medical imaging and cancer biology with deep neural networks Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing ...

See also: Deep Neural Networks, Medical Image Analysis, Digital Pathology, Highlighted Papers 2005.08629.pdf ...

Without additional context, it cannot confirm it is a house. Adding this context is a job for artificial neural networks and other machine learning models used in computer vision. These models are ...

The neural network used here, GoogleNet Inception v3, has a similar architecture. You can view it as a long assembly line, except any stage of the assembly line may have multiple image classifiers ...

Credit: Life (2023). DOI: 10.3390/life13091945 Mathematicians from RUDN University have built a neural network that recognizes breast cancer on histological samples with almost 100% accuracy.