From the TA grading page, clicking on "statistics & charts" we can view an overall histogram of the student grades for that gradeable. We can use edit filters to include/exclude students who are in ...

A deep learning-based medical imaging project for automatic brain tumor segmentation from multi-modal MRI scans using a 3D nnU-Net architecture with a Flask web interface.

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

No matter what type(s) of photography you like to pursue, mastering exposure is key to creating successful images. While it can be tempting to use your camera's screen to judge exposure, that display ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

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 ...

Abstract: This paper proposed an auto-adaptive threshold method of two-dimensional (2-D) histogram based on multi-resolution analysis (MRA), decreasing the calculation complexity of 2-D histogram ...

Instance segmentation has been the most challenging task in the field of computer vision, and its techniques are widely used in the fields of intelligent driving, intelligent medical imaging, remote ...

Abstract: Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used because of ...

1 College of Information Engineering, Dalian Ocean University, Dalian, China 2 Key Laboratory of Marine Information Technology of Liaoning Province (Dalian Ocean University), Dalian, China In ...