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COVID-19 Detection Using Chest X-Ray
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
Leveraging the recent advances in machine learning and availability of public medical imaging datasets, we created a Free Online X-Ray Diagnostic Tool using deep learning that can determine the X-ray type and visualize the pathology.
Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
Independent Research Project on Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques.
Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models
Stack of REST APIs built on Flask for serving requests to MAMMORY (App), deployed on Azure with GitHub Actions (CI/CD)
Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
This repository is used to create Machine Learning models. Building three kinds of models that include covid detection, fruit and vegetable nutrition content, and general disease detection.
Medical Images processing
"Covid19-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 from CT Scan Images using CNN based on DenseNet121 architecture.
For Korean speech emotion detect, this model is trained by Korean dataset. There is no enough Korean dataset, so i tried to make this repo.
Building a powerful Neural network that can classify Natural Scenes around the world
TensorFlow-Android 经典模型从理论到实战(微课视频版)
A Deep Learning Projects For Diagnosis of COVID Disease by Chest X-Ray Images.
Eye Disease Detection using Transfer Learning (DenseNet-121, EfficientNetB3, VGG-16, Resnet-152)
Using Densenet for image classification in PyTorch
Trained an image classifier to identify a total of 102 flower species. Data Augmentation was used to bring variety in the dataset. I also made a command-line interface for training and testing our model with various parameters using the ArgumentParser library in Python. Transfer Learning with VGG16 and Densenet121 was used to train our neural network using PyTorch.
Facial Expression Recognition can be featured as one of the classification jobs people might like to include in the set of computer vision. The job of our project will be to look through a camera that will be used as eyes for the machine and classify the face of the person (if any) based on his current expression/mood.
[Deep Learning] Building an image classifier application using Pytorch - a project from Data Scientist NanoDegree
"Covid19-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 from CT Scan Images using CNN based on DenseNet121 architecture
The objective of this project is to develop a model utilizing a convolutional neural network (CNN) for the classification of lung infections in individuals based on medical imagery.
AI to detect and classify Pneumonia from Chest XRay Images
cifar 10 dataset and minist dataset
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
Sakarya University Final Year Project of Özge Çinko and Kader Miyanyedi.
AI Programming with Python Nanodegree program Finle Capstone Project
Employing Error Level Analysis (ELA) and Edge Detection techniques, this project aims to identify potential image forgery by analyzing discrepancies in error levels and abrupt intensity changes within images.
Optimization of CheXNet in PyTorch with Intel OpenVINO
Innovation and Entrepreneurship Training Program for college students in 2019, ZengJin
Exploring the Application of Attention Mechanisms in Conjunction with Baseline Models on the COVID-19-CT Dataset
Deep fake detection using cnn, Xception, Denesenet121, GAN on four different datasets.
Project from Novo Nordisk's AgarVision hackathon, utilizing DenseNet-121 & YOLOv8 for agar plate analysis and colony counting.
Breast Cancer H&E classification of Images and Image Generation