English
Arabic
Hybrid Segmentation Algorithm for Medical Image Segmentation Based on Generating Adversarial Networks, Mutual Information and Multi-Scale Information
Original price was: Rs6,500.00.Rs5,500.00Current price is: Rs5,500.00.
| PROJ20119 |
Description
In the modern globe, digital medical image processing is a major branch to study in the fields of medical and information technology. Every medical field relies on digital medical imaging in diagnosis for most of their cases. One of the major components of medical image analysis is medical image segmentation. Medical image segmentation participates in the diagnosis process, and it aids the processes of other medical image components to increase the accuracy. In this methods, fuzzy c-means (FCM) clustering is the most accurate method for image segmentation, and it can be smooth and bear desirable outcomes. The performance is evaluated by means of the Accuracy and error rate.
Only logged in customers who have purchased this product may leave a review.
Robust Length of Stay Prediction Model for Indoor Patients
Symptom Based Explainable Artificial Intelligence Model for Leukemia Detection
Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review
DL-FHMC: Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
Reviews
There are no reviews yet.