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A Multilevel Deep Feature Selection Framework for Diabetic Retinopathy Image Classification 被引量:1
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作者 farrukh zia Isma Irum +5 位作者 Nadia Nawaz Qadri Yunyoung Nam Kiran Khurshid Muhammad Ali Imran Ashraf Muhammad Attique Khan 《Computers, Materials & Continua》 SCIE EI 2022年第2期2261-2276,共16页
Diabetes or Diabetes Mellitus(DM)is the upset that happens due to high glucose level within the body.With the passage of time,this polygenic disease creates eye deficiency referred to as Diabetic Retinopathy(DR)which ... Diabetes or Diabetes Mellitus(DM)is the upset that happens due to high glucose level within the body.With the passage of time,this polygenic disease creates eye deficiency referred to as Diabetic Retinopathy(DR)which can cause a major loss of vision.The symptoms typically originate within the retinal space square in the form of enlarged veins,liquid dribble,exudates,haemorrhages and small scale aneurysms.In current therapeutic science,pictures are the key device for an exact finding of patients’illness.Meanwhile,an assessment of new medicinal symbolisms stays complex.Recently,Computer Vision(CV)with deep neural networks can train models with high accuracy.The thought behind this paper is to propose a computerized learning model to distinguish the key precursors of Dimensionality Reduction(DR).The proposed deep learning framework utilizes the strength of selected models(VGG and Inception V3)by fusing the extracated features.To select the most discriminant features from a pool of features,an entropy concept is employed before the classification step.The deep learning models are fit for measuring the highlights as veins,liquid dribble,exudates,haemorrhages and miniaturized scale aneurysms into various classes.The model will ascertain the loads,which give the seriousness level of the patient’s eye.The model will be useful to distinguish the correct class of seriousness of diabetic retinopathy pictures. 展开更多
关键词 Deep neural network diabetic retinopathy RETINA features extraction classification
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Empowering Students with Practical "Working" Experience through Hands-on Multidisciplinary Design Projects
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作者 Andy S. Zhang Iem Heng farrukh zia 《Journal of Mechanics Engineering and Automation》 2013年第1期1-6,共6页
One of the problems that many engineering graduates face when looking for their first job is: Do you have experience? Employers prefer graduates with relevant experience to those without. Why is experience so import... One of the problems that many engineering graduates face when looking for their first job is: Do you have experience? Employers prefer graduates with relevant experience to those without. Why is experience so important to employers? Can students accumulate "working" experience while studying in college? This paper discusses the use of design projects inside and outside of classrooms to help students gain "working" experience and skills through hands-on design activities that simulate the actual design activities that occur in the industry. Faculty members from the Mechanical Engineering Technology and Computer Engineering Technology departments were involved in creating multidisciplinary design projects. The design projects give students new insights into what they learn in their coursework and pro.vide students the valuable experiences in analytical skills, concurrent engineering approach, people skills, and management skills needed for the students when looking for employment. 展开更多
关键词 MECHATRONICS multidisciplinary approach practical working experience.
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