Provably Efficient Multi-Cancer Image Segmentation Based on Multi-Class Fuzzy Entropy

One of the segmentation techniques with the greatest degree of success used in numerous recent applications is multi-level thresholding. The selection of appropriate threshold values presents difficulties for traditional methods, however, and, as a result, techniques have been developed to address these difficulties multidimensionally. Such approaches have been shown to be an efficient way of identifying the areas affected in multi-cancer cases in order to define the treatment area. Multi-cancer methods that facilitate a certain degree of competence are thus required. This study tested storing MRI brain scans in a multidimensional image database, which is a significant departure from past studies, as a way to improve the efficacy, efficiency, and sensitivity of cancer detection. The evaluation findings offered success rates for cancer diagnoses of 99.08%, 99.87%, 94%; 97.08%, 98.3%, and 93.38% sensitivity; the success rates of in particular were 99.99%; 98.23%, 99.53%, and 99.98%.

• Publication year

  2023

• Venue

  Informatica

• Publication date

  2023-09-28

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.31449/inf.v47i8.4840
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation

  2023cited by this paper
• Fully automated model on breast cancer classification using deep learning classifiers

  2022cited by this paper
• Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

  2021cited by this paper
• A Review of Deep-Learning-Based Medical Image Segmentation Methods

  2021cited by this paper
• Fuzzy System Based Medical Image Processing for Brain Disease Prediction

  2021cited by this paper
• A survey on brain tumor detection techniques for MR images

  2020cited by this paper
• An efficient Harris hawks-inspired image segmentation method

  2020cited by this paper
• Morphological edge detection and brain tumor segmentation in Magnetic Resonance (MR) images based on region growing and performance evaluation of modified Fuzzy C-Means (FCM) algorithm

  2020cited by this paper
• GVFOM: a novel external force for active contour based image segmentation

  2020cited by this paper
• A fusion method based on Deep Learning and Case-Based Reasoning which improves the resulting medical image segmentations

  2020cited by this paper
• Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

  2020cited by this paper
• A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics

  2020cited by this paper
• HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images

  2020cited by this paper
• An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation

  2020cited by this paper
• Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network

  2019influential reference
• A Modified Deep Convolutional Neural Network for Abnormal Brain Image Classification

  2019cited by this paper
• Dual-force convolutional neural networks for accurate brain tumor segmentation

  2019cited by this paper
• A review on weed detection using ground-based machine vision and image processing techniques

  2019cited by this paper
• Enhanced Moth-flame optimizer with mutation strategy for global optimization

  2019cited by this paper
• A Random Forest based predictor for medical data classification using feature ranking

  2019cited by this paper
• Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation

  2019cited by this paper
• An effective image retrieval based on optimized genetic algorithm utilized a novel SVM-based convolutional neural network classifier

  2019cited by this paper
• Content-based Image Retrieval of Color, Shape and Texture by Using Novel multi-SVM Classifier

  2019cited by this paper
• Greedy Learning of Deep Boltzmann Machine (GDBM)’s Variance and Search Algorithm for Efficient Image Retrieval

  2019cited by this paper
• Towards Efficient for Learning Model Image Retrieval

  2018cited by this paper
• Integrating fuzzy entropy clustering with an improved PSO for MRI brain image segmentation

  2018cited by this paper
• Thresholding for Medical Image Segmentation for Cancer using Fuzzy Entropy with Level Set Algorithm

  2018cited by this paper
• Different applied median filter in salt and pepper noise

  2018cited by this paper
• Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images

  2018cited by this paper
• An improved water flow-like algorithm for order acceptance and scheduling with identical parallel machines

  2017cited by this paper
• Codeflaws: A Programming Competition Benchmark for Evaluating Automated Program Repair Tools

  2017cited by this paper
• A Survey on Advanced Segmentation Techniques for Brain MRI Image Segmentation

  2017cited by this paper
• MRI Brain Image Segmentation Using Enhanced Adaptive Fuzzy K-Means Algorithm

  2017cited by this paper
• Modified firefly algorithm based multilevel thresholding for color image segmentation

  2017cited by this paper
• An effective method for computerized prediction and segmentation of multiple sclerosis lesions in brain MRI

  2017cited by this paper
• Brain tumor segmentation based on a new threshold approach

  2017cited by this paper
• Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

  2016cited by this paper
• Brain tumour classification using two-tier classifier with adaptive segmentation technique

  2016cited by this paper
• piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics

  2015cited by this paper
• Lung cancer classification using neural networks for CT images

  2014cited by this paper
• Automated Pulmonary Nodule Detection System in Computed Tomography Images: A Hierarchical Block Classification Approach

  2013cited by this paper
• FINGERPRINT IMAGE ENHANCEMENT BY DEVELOP MEHTRE TECHNIQUE

  2011cited by this paper
• Simulation and Design of Fuzzy Temperature Control for Heating and Cooling Water System

  2011cited by this paper
• Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation

  2011cited by this paper
• Measuring Biological Diversity

  2004cited by this paper
• Arti fi cial intelligence and machine learning in cancer imaging

  year unknowncited by this paper

• Self-Organizing Maps Based Pattern Recognition and Image Processing for Effective Computer Vision

  2025cites this paper
• Amalgamating Ensemble Machine Learning Soft Voting Classifier, SMOTE, and Pearson's Correlation Coefficient for Enhanced Malware Detection

  2025cites this paper
• Deep Learning-Driven Preference Models for Biomedical Image Retrieval Systems

  2025cites this paper
• Archimedes Optimization Algorithm With Deep Learning Assisted Content-Based Image Retrieval in Healthcare Sector

  2024cites this paper
• An Enhanced Approach to Content-based Image Retrieval using Harris Hawks Optimization and Automated Image Captioning

  2024cites this paper
• Provably Efficient and Fast Technique for Determining the Size of a Brain Tumor in T1 MRI Images

  2024cites this paper
• Automated brain tumor diagnostics: Empowering neuro-oncology with deep learning-based MRI image analysis

  2024cites this paper