Search Results - (( tissues classification methods algorithm ) OR ( java application learning algorithm ))
Search alternatives:
- tissues classification »
- classification methods »
- application learning »
- learning algorithm »
- methods algorithm »
- java application »
-
1
Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
Published 2020“…We hope that these our results would help improve the classification of breast tissue to allow the early prediction of cancer susceptibility.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
-
3
-
4
-
5
-
6
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…The four are separation, classification, sorting and rooting. In this work, the type of sample involves oil palm tissue culture (OPTC) shoots obtained from the Malaysia Palm Oil Board (MPOB) tissue culture laboratory. …”
Get full text
Get full text
Thesis -
7
-
8
-
9
Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021
Published 2022“…Results: In this paper, the review is performed for all recently proposed methods for both feature extraction and classification. …”
Get full text
Get full text
Get full text
Article -
10
Segmenting nodules of lung tomography image with level set algorithm and neural network
Published 2019“…Segmentation technique which is level set method (LSM) is applied to segment the nodule. After that, feature extraction process is carried out to obtain the essential information of the segmented nodules for further analysis or classification purpose. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
11
Breast cancer histological images nuclei segmentation and optimized classification with deep learning
Published 2022“…The extracted features map using the feature pyramid network has been modified using segmenting objects by locations (SOLO) convolution with grasshopper optimization for multiclass classification. A breast cancer multi-classification technique based on a suggested deep learning algorithm was examined to achieve the accuracy of 99.2% using a huge database of ICIAR 2018, demonstrating the method’s efficacy in offering an important weapon for breast cancer multi-classification in a medical setting. …”
Get full text
Get full text
Get full text
Article -
12
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
Get full text
Get full text
Get full text
Thesis -
14
HEP-2 CELL FEATURE EXTRACTION USING WAVELET AND INDEPENDENT COMPONENT ANALYSIS
Published 2013“…Then Support Vector Machine (SVM) is used to perform the classifications parts using the features extracted from both methods. …”
Get full text
Get full text
Final Year Project -
15
Automated classification radiograph of Periodontal bone loss using deep learning
Published 2025“…Background: Periodontitis is a common chronic inflammatory condition of the supporting tissues of the teeth that destroys the tissues and, if left untreated, results in tooth loss. …”
Get full text
Get full text
Get full text
Article -
16
Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…Then, these tissues are classified into tumors and blood vessels by an AdaBoost classification method based on tissue features extracted utilizing first, second and higher order image features selected by a minimal-redundancy maximalrelevance feature selection approach. …”
Get full text
Get full text
Get full text
Thesis -
17
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
Get full text
Get full text
Get full text
Thesis -
18
Automated Segmentation And Classification Technique For Brain Stroke
Published 2019“…For classification technique, bagged tree classifier is proposed to classify the type of stroke. …”
Get full text
Get full text
Get full text
Article -
19
-
20
Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer
Published 2016“…In this paper, we employed three marker selection algorithms to select relevant miRNAs that are directly responsible for cancer classification. …”
Get full text
Get full text
Get full text
Article
