Becker's Spine Review

Are spine surgeons leaning too hard on a single outcome threshold?

The minimal clinically important difference, or MCID, has become a central tool for judging whether spine surgery actually helped a patient. But treating it as a fixed, one-size-fits-all number can ...
IEEE

Cuttlefish Algorithm-Based Multilevel 3-D Otsu Function for Color Image Segmentation

Abstract: To overcome the shortcomings of 1-D and 2-D Otsu's thresholding methods, a 3-D Otsu method has been introduced. While yielding satisfactory segmentation results for images with a low ...
IEEE

Research on Threshold Segmentation Method of Two-Dimensional Otsu Image Based on Improved Sparrow Search Algorithm

Abstract: Aiming at the issues of complex calculation and low accuracy of two-dimensional (2D) Otsu segmentation images, an image threshold segmentation means of 2D Otsu ground on a modified sparrow ...
Frontiers

An integrated convolutional neural network for classifying small pulmonary solid nodules

Achieving accurate classification of benign and malignant pulmonary nodules is essential for treating some diseases. However, traditional typing methods have difficulty obtaining satisfactory results ...
Scientific Research Publishing

H. Ng, “Automatic Thresholding for Defect Detection,” Pattern Recognition Letters, Vol. 27, No. 14, 2006, pp. 1644-1649. doi:10.1016/j.patrec.2006.03.009

ABSTRACT: The purpose of this study is to apply different thresholding in mammogram images, and then we will determine which technique is the best in thresholding (extraction) malignant and benign ...