You will get COVID-19 detection from X-ray images using Angle Transformation
Project details
COVID-19 has become one of the most dangerous viruses in recent years, causing infections in both the upper respiratory tract and lungs. Today, it is seen that artificial intelligence methods are used effectively for the detection of the COVID-19 virus. In the studies, it is seen that deep learning-based approaches have achieved very successful results for clinical diagnostic studies and other fields. In this study, a new approach using X-ray images is proposed to detect COVID-19 disease. The proposed approach initially applies the Angle transform (AT) method to X-ray images. This transformation uses the angle information created by each pixel on the image with the surrounding pixels. Using the angle transform approach, eight different images are obtained for each image in the dataset. These images were trained with a hybrid deep learning model, which combines GoogleNet and LSTM models, and COVID-19 disease detection was carried out. High classification accuracy of 98.97% was achieved with the AT+GoogleNet+LSTM approach. The proposed approach has the flexibility to be applied effectively on different medical images.
AI Development Type
Deep LearningAI Tools
Keras, MATLAB, TensorFlowWhat's included
| Service Tiers |
Starter
$600
|
Standard
$700
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 25 days | 25 days | 25 days |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100About Yilmaz
Data Scientist & Machine Learning Engineer | Deep Learning, Statistica
Batman, Turkey - 5:32 am local time
1- Develop Machine Learning models? — YES
2-Design Deep Learning architectures? — YES
3-Perform Time-Series Modeling & Forecasting (ECG, EEG, EMG, Vibration, Sensor Streams)? — YES
4-Apply Signal Processing & Feature Extraction (Time/Frequency/Time-Frequency)? — YES
5-Build Statistical Learning Pipelines (Classification/Regression)? — YES
6-Perform Dimensionality Reduction (PCA, UMAP, t-SNE)? — YES
7-Conduct Exploratory Data Analysis (EDA)? — YES
8-Execute Data Cleaning & Preprocessing (Missing, Noise, Outliers)? — YES
9-Train/Validate/Tune ML models with proper CV strategies? — YES
10-Evaluate Model Performance (ROC, PR, F1, RMSE, MAE, R²)? — YES
11-Build Custom Loss Functions & Training Loops? — YES
12-Engineer Features (Statistical/Domain/Spectral)? — YES
13-Visualize Data & Results (Plots, Heatmaps, Trends, Signals)? — YES
14-Process Multi-Channel Signals (ECG, EEG, EMG, IMU, Accelerometer)? — YES
15-Apply Statistical Testing & Inference (ANOVA, Correlation, Hypothesis Tests)? — YES
16-Optimize GPU Training (Batching, Mixed Precision, Memory)? — YES
17-Implement End-to-End ML Pipelines (Data → Model → Metrics → Reports)? — YES
18-Build Multi-Class & Multi-Label Models? — YES
19-Conduct Research-Grade Experimentation & Benchmarking? — YES
20-Generate Technical Reports, Figures, Tables & Summaries? — YES
21-Provide Technical Consulting & Model Design Guidance? — YES
22-Mentor on ML/DL/Time-Series topics (Academic or Industrial)? — YES
23-Build Computer Vision Models (Image)? — YES
24-Apply Image Preprocessing & Feature Extraction (Filters, Edges, Keypoints)? — YES
25-Perform Object Detection/Tracking (YOLO, Faster-RCNN, SORT, DeepSORT)? — YES
26-Implement Image Classification & Segmentation (CNN/UNet/ViT)? — YES
27-Conduct Text Mining & NLP (Tokenization, Lemmatization, N-grams)? — YES
28-Build Text Classification & Topic Modeling (TF-IDF, LDA, BERT)? — YES
29-Perform Semantic Similarity & Embedding Analysis (Word2Vec, SBERT)? — YES
30-Develop NLP Pipelines for Sentiment/Entity/Keyword Extraction? — YES
31-Integrate LLMs for Knowledge Retrieval & Reasoning (RAG/Vector DB)? — YES
32-Fine-Tune or Customize LLMs (Instruction-Tuning/Domain Adaption)? — YES
Steps for completing your project
After purchasing the project, send requirements so Yilmaz can start the project.
Delivery time starts when Yilmaz receives requirements from you.
Yilmaz works on your project following the steps below.
Revisions may occur after the delivery date.
The project process will be shared step by step.