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 ...
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 ...
www.cs.utexas.edu

Computer Vision

This is an intro course in computer vision. It is intended for upper-level undergraduate students. Computer vision is an interdisciplinary field that deals with how computers can achieve high-level ...
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] ...
Europe PMC

Cervical Transformation Zone Segmentation and Classification based on Improved Inception-ResNet-V2 Using Colposcopy Images.

The second most frequent malignancy in women worldwide is cervical cancer. In the transformation(transitional) zone, which is a region of the cervix, columnar cells ...
Europe PMC

Enhanced Watershed Segmentation Algorithm-Based Modified ResNet50 Model for Brain Tumor Detection

This work delivers a novel technique to detect brain tumor with the help of enhanced watershed modeling integrated with a modified ResNet50 architecture. It also involves stochastic approaches to help ...
Frontiers

Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion

The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled ...
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 ...
Scientific Research Publishing

Design and Implementation of Fingerprint Identification System Based on KNN Neural Network ()

1 College of Information and Communication Engineering, Al-Nahrain University, Baghdad, Iraq. 2 Al-Nahrain University, Baghdad, Iraq. Fingerprint identification and recognition are considered popular ...