GitHub

optic-disc-segmentation

This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation ...
C&EN

Urban Air-Quality Estimation Using Visual Cues and a Deep Convolutional Neural Network in Bengaluru (Bangalore), India

Department of Environmental, Water and Agricultural Engineering, Faculty of Civil & Environmental Engineering, Technion−Israel Institute of Technology, Haifa 3200003, Israel Environmental Physics ...
Frontiers

Cotton Yield Estimation From Aerial Imagery Using Machine Learning Approaches

Estimation of cotton yield before harvest offers many benefits to breeding programs, researchers and producers. Remote sensing enables efficient and consistent estimation of cotton yields, as opposed ...
GitHub

Awesome Decision, Classification, and Regression Tree Research Papers

Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard [Paper] ...
The Lancet

A machine learning approach for retinal images analysis as an objective screening method for children with autism spectrum disorder

aCentre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR ...
IEEE

K-means Clustering and SVM for Plant Leaf Disease Detection and Classification

Abstract: The role image processing role is inevitable in the computer vision, robotics, agriculture, and medical field. This work proposes K-means clustering algorithm for the detection of leaf ...
IEEE

Segmentation and Detection of Tumor in MRI images Using CNN and SVM Classification

Abstract: Among cerebrum tumors, gliomas are the most well-known what's more, forceful, prompting a short future in their most noteworthy review. In this way, treatment arranging is a key stage to ...