Engineering Commons^™

Brain Image Clustering By Wavelet Energy And Cbsso Optimization Algorithm, Hasan Hosseinzadeh, Mohammad Sedaghat

Journal of Mind and Medical Sciences

Previously, the diagnosis of brain abnormality was significantly important in the saving of social and hospital resources. Wavelet energy is known as an effective feature detection which has great efficiency in different utilities. This paper suggests a new method based on wavelet energy to automatically classify magnetic resonance imaging (MRI) brain images into two groups (normal and abnormal), utilizing support vector machine (SVM) classification based on chaotic binary shark smell optimization (CBSSO) to optimize the SVM weights.

The results of the suggested CBSSO-based KSVM are compared favorably to several other methods in terms of better sensitivity and authenticity. The proposed …

An Arm And A Leg: Medtech Perspectives On Human-Centered Design, Evan D. Poff

Marriott Student Review

The art of human-centered design accounts for both technological and emotional specifications in order to deliver meaningful products that meet the specific needs of the individual customer. Every business professional can deepen his or her understanding of human-centered design – regardless of our industry of choice – by looking to perspectives that the business of medical technology offers. To that end, this article draws upon interviews with three figures in this remarkable field, distilling their insights on how to cultivate businesses that produce human-centered solutions.