densenet121
There are 108 repositories under densenet121 topic.
arpanmangal/CovidAID
COVID-19 Detection Using Chest X-Ray
priyavrat-misra/xrays-and-gradcam
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
LaurentVeyssier/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
dilaraozdemir/satellite-image-classification-pytorch
Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
aryashah2k/Automatic-Detection-Of-Lumpy-Skin-Disease-Using-Deep-Learning-Techniques
Independent Research Project on Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques.
IS2AI/Chest-X-ray-module
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.
Sakib1263/DenseNet-1D-2D-Tensorflow-Keras
Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
cloor/Speech-Emotion-Recognition-ROS
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.
mhuzaifadev/mammory-server
Stack of REST APIs built on Flask for serving requests to MAMMORY (App), deployed on Azure with GitHub Actions (CI/CD)
ihamdi/Covid-xRay-Classification
Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models
LamineTourelab/AI-for-medicine-specialization
Medical Images processing
m3mentomor1/Breast-Cancer-Image-Classification-with-DenseNet121
This project utilizes a sophisticated deep learning model trained to classify breast ultrasound images into three categories: benign, malignant, or normal, thus determining the presence of breast cancer.
PerXeptron/X-Ray-Anomaly-Detection-Models
Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
DocBot-Bangkit-2021/DocBot-MachineLearningModels
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.
ShivamGupta92/ImageForgeryDetection
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.
Aliviarahma/Image-Classification-Using-Transfer-Learning
Eye Disease Detection using Transfer Learning (DenseNet-121, EfficientNetB3, VGG-16, Resnet-152)
BitterOcean/Covid19-Detector
"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.
fatemafaria142/Retinal-Fundus-Classification-using-XAI-and-Segmentation
This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.
manashpratim/Intel-image-Classification
Building a powerful Neural network that can classify Natural Scenes around the world
zjese/Sleeping-posture-detection
Innovation and Entrepreneurship Training Program for college students in 2019, ZengJin
DongXiangzhi/TensorFlow-Android
TensorFlow-Android 经典模型从理论到实战（微课视频版）
Rajsoni03/Covid-19_Detection_Using_Chest_X-Ray_Images
A Deep Learning Projects For Diagnosis of COVID Disease by Chest X-Ray Images.
soham2707/Facial-Expression-Recognition-Using-Deep-Learning
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.
anhtuan284/chest-xray-multi-disease
Multi-disease segmentation chest X-rays by YOLO and DenseNet121, CoAtNet models
koushik-elite/Using-Densenet-and-PyTorch
Using Densenet for image classification in PyTorch
ozgecinko/AlzheimersDiseaseClassifier
Sakarya University Final Year Project of Özge Çinko and Kader Miyanyedi.
Rafat3000/COVID-19-Xray-DL-Classification-transfer-learning-
Build Model Covid-19 Xray using CNN & Transfer learning
sankalpjain99/Flower-Species-Classifier
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.
BitterOcean/Covid19-Detector-Backend
"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
Jigisha-p/Detection-of-Lung-Infection
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.
Kajlid/nr-vqa-vmaf
The code in this repository was a part of a Bachelor thesis project at KTH.
MagnusS0/AgarVision_2024
Project from Novo Nordisk's AgarVision hackathon, utilizing DenseNet-121 & YOLOv8 for agar plate analysis and colony counting.
mtwchuang/CSC3009-Brain-Tumor-Detection
This project explores the application of deep learning techniques, specifically Convolutional Neural Networks (CNNs), in classifying brain tumors classes such as non-tumor, glioma, meningioma, pituitary from MRI images, and evaluate these CNNs architectures based on their respective performances in tumor classification.
RakeshTirumala/SafeFace-AI
A real-time mask detection system utilizing DenseNet-121, achieving 94.6% training accuracy and 87.1% validation accuracy. This model effectively identifies mask usage, enhancing safety in various settings.
saquib4u/DFU-Classification
Diabetic Foot Ulcer Classification using Deep Learning to classify Diabetic Foot Ulcer images and Healthy Skin images.
shre-db/OCT-Retinal-Disease-Detection-CNN
Retinal disease detection using optical coherence tomography (OCT) and deep neural networks.