Data mining final assignment
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Updated
Apr 27, 2020 - Jupyter Notebook
Data mining final assignment
Lungs. X-ray. ML. DL. Computer Vision. TensorFlow.
A tool for compare, merge, display difference and make OCR between the PDFs.
Representative code for my Master's Thesis: "Automatic Detection of Foreign Objects in X-Ray Images" (2021).
Detecting COVID-19 in X-ray images using deep learning techniques
A series of Image Analysis tasks for the M115 - Image Processing and Analysis course, NKUA, Spring 2023
Pneumonia Chest X-ray Image Classification with deep learning
Master's thesis - Austral University - Pneumonia detection on X-ray chest exams
Code for StyleGAN-based simulation of X-ray baggage images for security screening
Developed a model to predict bounding boxes around the heart in X-ray images using deep learning techniques.
X-rays classification using deep learning
automate the analysis of the modulation transfer function (MTF)
To build a CNN model for detecting COVID-19 and create a complete end to end Project.
Deep-Learning solution for detecting Intra-Cranial Hemorrhage (ICH) 🧠 using X-Ray Scans in DICOM (.dcm) format.
Applied convolutional neural network to x-ray images to predict types of pneumonia. Categories are: Healthy, Covid-19, Viral pneumonia, Bacterial pneumonia
U-net deep learning model using TensorFlow framework for image segmentation in X-ray images
GPT-2 based medical reports generator for X-ray images in Czech.
Convolutional networks for x-ray chest classification
This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we used Transformer architectures (such as Vision Transformer and Swin Transformer). This dataset is Bone Fracture Multi-Region X-ray, available on Kaggle.
Implementation of a pre-trained CNN for recognizing the covid-19 from chest X-Ray images with PyTorch library
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