Brain tumor detection and multi‐classification using advanced deep learning techniques
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Brain tumor detection and multi‐classification using advanced deep learning techniques
Authors
Keywords
-
Journal
MICROSCOPY RESEARCH AND TECHNIQUE
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-01-06
DOI
10.1002/jemt.23688
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction
- (2020) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
- (2020) Abdul Majid et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images
- (2020) Ansh Mittal et al. SENSORS
- Gastric Tract Infections Detection and Classification from Wireless Capsule Endoscopy using Computer Vision Techniques: A Review
- (2020) Amna Liaqat et al. Current Medical Imaging Reviews
- Entropy‐controlled deep features selection framework for grape leaf diseases recognition
- (2020) Alishba Adeel et al. EXPERT SYSTEMS
- Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
- (2020) Tanzila Saba Journal of Infection and Public Health
- Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
- (2020) Tanzila Saba et al. Journal of Infection and Public Health
- Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
- (2020) Muhammad Attique Khan et al. Diagnostics
- Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
- (2020) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Mobile-Health Applications for the Efficient Delivery of Health Care Facility to People with Dementia (PwD) and Support to Their Carers: A Survey
- (2019) Kanwal Yousaf et al. Biomed Research International
- An ensemble classification of exudates in color fundus images using an evolutionary algorithm based optimal features selection
- (2019) Hidayat Ullah et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion
- (2019) Muhammad Attique Khan et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selection
- (2019) Muhammad A. Khan et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Cloud-based decision support system for the detection and classification of malignant cells in breast cancer using breast cytology images
- (2019) Tanzila Saba et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Plasmodium species aware based quantification of malaria parasitemia in light microscopy thin blood smear
- (2019) Naveed Abbas et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Lungs nodule detection framework from computed tomography images using support vector machine
- (2019) Sajid A. Khan et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation
- (2019) Sajid Iqbal et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction
- (2019) Tanzila Saba et al. JOURNAL OF MEDICAL SYSTEMS
- Automated lung nodule detection and classification based on multiple classifiers voting
- (2019) Tanzila Saba MICROSCOPY RESEARCH AND TECHNIQUE
- Microscopic skin laceration segmentation and classification: A framework of statistical normal distribution and optimal feature selection
- (2019) Farhat Afza et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Brain Tumor Detection using Fusion of Hand Crafted and Deep Learning Features
- (2019) Tanzila Saba et al. Cognitive Systems Research
- Brain tumor detection using statistical and machine learning method
- (2019) Javaria Amin et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- An Improved Strategy for Predicting Diagnosis, Survivability, and Recurrence of Breast Cancer
- (2019) Souad Larabi Marie-Sainte et al. Journal of Computational and Theoretical Nanoscience
- Lung Nodule Detection based on Ensemble of Hand Crafted and Deep Features
- (2019) Tanzila Saba et al. JOURNAL OF MEDICAL SYSTEMS
- Current Techniques for Diabetes Prediction: Review and Case Study
- (2019) Larabi-Marie-Sainte et al. Applied Sciences-Basel
- Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
- (2019) Muhammad Attique Khan et al. APPLIED SOFT COMPUTING
- A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks
- (2019) Farheen Ramzan et al. JOURNAL OF MEDICAL SYSTEMS
- Brain tumor detection based on Convolutional Neural Network with neutrosophic expert maximum fuzzy sure entropy
- (2019) Fatih Özyurt et al. MEASUREMENT
- Brain tumor detection: a long short-term memory (LSTM)-based learning model
- (2019) Javaria Amin et al. NEURAL COMPUTING & APPLICATIONS
- Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN)
- (2018) Sajid Iqbal et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM
- (2018) H. M. Fahad et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Rouleaux red blood cells splitting in microscopic thin blood smear images via local maxima, circles drawing, and mapping with original RBCs
- (2018) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Removal of pectoral muscle based on topographic map and shape-shifting silhouette
- (2018) Bushra Mughal et al. BMC CANCER
- Microscopic malaria parasitemia diagnosis and grading on benchmark datasets
- (2018) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Classification of acute lymphoblastic leukemia using deep learning
- (2018) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Plasmodium life cycle stage classification based quantification of malaria parasitaemia in thin blood smears
- (2018) Naveed Abbas et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Fundus image classification methods for the detection of glaucoma: A review
- (2018) Tanzila Saba et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Fuzzy C-means and region growing based classification of tumor from mammograms using hybrid texture feature
- (2018) Tariq Sadad et al. Journal of Computational Science
- Multi-grade brain tumor classification using deep CNN with extensive data augmentation
- (2018) Muhammad Sajjad et al. Journal of Computational Science
- A novel classification scheme to decline the mortality rate among women due to breast tumor
- (2017) Bushra Mughal et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Retinal imaging analysis based on vessel detection
- (2017) Arshad Jamal et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases: A Survey
- (2017) Tanzila Saba et al. Current Medical Imaging Reviews
- Automated nuclei segmentation of malignant using level sets
- (2016) Ahmed Husham et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears
- (2016) Naveed Abbas et al. NEURAL COMPUTING & APPLICATIONS
- Fuzzy Phoneme Classification Using Multi-speaker Vocal Tract Length Normalization
- (2014) Jensen Wong Jing Lung et al. IETE TECHNICAL REVIEW
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now