Ultra-optimized A100 training for chest X-ray classification (COVID-19, Pneumonia) | ConvNeXt-Base + Focal Loss + Mixup/CutMix + TTA | 1.5h training → 0.87-0.89 F1 | Kaggle-ready notebooks

For the Semester-Final Team Project, my friends and I have built a CNN model to classify chest X-ray images into Normal, COVID-19, and Pneumonia (Viral/Bacterial) cases.

Utilizing the power of Convolutional Neural Networks to create an accurate classification of Pneumonia from Lung X-rays.

CNN-powered X-ray pneumonia detection with Grad-CAM visualizations and misclassification heatmaps for medical AI insight.

A deep learning project for detecting pneumonia from chest X-ray images using Convolutional Neural Networks (CNN). This project was implemented in Python with Jupyter Notebook.

An image classification project using Convolutional Neural Networks to detect pneumonia in chest X-rays.

The proposed system uses machine learning to classify X-ray images for potential pneumonia diagnosis. Designed to enhance accuracy and speed, it aims to supplement traditional radiologist evaluations, reducing human error and ensuring timely detection of this critical health concern.

CNN for detecting pneumonia from chest X-rays. Includes Grad-CAM visualizations and live predictions via Google Colab.

An ensemble model for pneumonia detection that achieves 95.51% accuracy and 96.44 % F1 score on the ChestXRay17 dataset.

Detect Pneumonia from chest X-ray images

transfert learning using inceptionv3 + extra model for pneumonia xray prediction

Two-stage chest X-ray classifier: NORMAL vs PNEUMONIA → BACTERIA vs VIRUS. Grad-CAM + Streamlit demo. Educational—not for clinical use.

This project aims to study a public dataset on pneumonia detection based on a binary classification problem. I will perform a preprocessing phase, create a deep learning model from scratch, evaluate it with a transfer learning technique and complete this study with a grad cam integration.

Modelo para detecção de pneumonia em imagens de radiografia de tórax.

Pneumonia is an infectious disease of the lungs that mainly affects the pulmonary vasculature and causes the oxygen not to pass into the blood. Symptoms usually include a combination of cough, chest pain, high fever and difficulty breathing. Pneumonia is most often caused by a bacterial or viral infection and sometimes by autoimmune diseases. Di…

High accuracy model using Machine Learning and neural networks to diagnose pneumonia reading chest X-ray images.

Detect Pneumonia Using Deep Learning Models (CNN and InceptionV3)

Graph Convolutional Neural Network as an explainable Pneumonia classifier

Classification of Pneumonia Chest X-Ray Images.

Pneumonia Image Classification. Build model to detect pneumonia from x-ray images of healthy and pneumonia positive individuals.