White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...
Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
Researchers have developed a pair of modules that gives a boost to the use of artificial neural networks to identify potentially cancerous growths in colonoscopy imagery, traditionally plagued by ...
• Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Justdial on MSN
Machine learning vs deep learning: Which one is better?
Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results