Topic: densenet121 Goto Github
Some thing interesting about densenet121
Some thing interesting about densenet121
densenet121,This repository hosts the Cervical Cancer Image Classification project, a comprehensive effort aimed at improving the classification accuracy of Squamous Cell Carcinoma (SCC) through advanced deep learning models and ensemble techniques. The project utilizes the Herlev dataset.
User: aditya1jhaveri
densenet121,Eye Disease Detection using Transfer Learning (DenseNet-121, EfficientNetB3, VGG-16, Resnet-152)
User: aliviarahma
densenet121,[Deep Learning] Building an image classifier application using Pytorch - a project from Data Scientist NanoDegree
User: anhhchu
densenet121,COVID-19 Detection Using Chest X-Ray
User: arpanmangal
Home Page: http://arxiv.org/abs/2004.09803
densenet121,Independent Research Project on Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques.
User: aryashah2k
densenet121,deep learning models that detect the degrees of Alzheimer’s disease. applying various types of convolutional neural networks like SqueezeNet, DenseNet121 and VGG19 on ADNI dataset .
User: ayafergany
densenet121,"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.
User: bitterocean
densenet121,"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
User: bitterocean
densenet121,"Covid19-Pneumonia-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 and Pneumonia from X-ray Images using CNN based on DenseNet121 architecture.
User: bitterocean
densenet121,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.
User: cloor
densenet121,Exploring the Application of Attention Mechanisms in Conjunction with Baseline Models on the COVID-19-CT Dataset
User: d4nh5u
densenet121,Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
User: dilaraozdemir
densenet121,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.
Organization: docbot-bangkit-2021
densenet121,TensorFlow-Android 经典模型从理论到实战(微课视频版)
User: dongxiangzhi
densenet121,Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models
User: ihamdi
densenet121,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.
Organization: is2ai
Home Page: https://issai.nu.edu.kz/chest-x-ray-disease-classification-system/
densenet121,Deep fake detection using cnn, Xception, Denesenet121, GAN on four different datasets.
User: jay-suthar
densenet121,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.
User: jigisha-p
densenet121,The code in this repository was a part of a Bachelor thesis project at KTH.
User: kajlid
densenet121,Using Densenet for image classification in PyTorch
User: koushik-elite
densenet121,Medical Images processing
User: laminetourelab
densenet121,Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
User: laurentveyssier
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.
User: m3mentomor1
densenet121,Project from Novo Nordisk's AgarVision hackathon, utilizing DenseNet-121 & YOLOv8 for agar plate analysis and colony counting.
User: magnuss0
densenet121,Building a powerful Neural network that can classify Natural Scenes around the world
User: manashpratim
densenet121,AI to detect and classify Pneumonia from Chest XRay Images
User: manashpratim
densenet121,Classifies chest X-ray images using a customized DenseNet121 neural network model
User: mansimann
densenet121,cifar 10 dataset and minist dataset
User: mesut-bilgin
densenet121,Stack of REST APIs built on Flask for serving requests to MAMMORY (App), deployed on Azure with GitHub Actions (CI/CD)
User: mhuzaifadev
densenet121,Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
User: myatmyintzuthin
densenet121,Apple leaf diseases classification project.
User: nimeshm05
densenet121,Sakarya University Final Year Project of Özge Çinko and Kader Miyanyedi.
User: ozgecinko
densenet121,Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
Organization: perxeptron
densenet121,Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
User: priyavrat-misra
densenet121,AI Programming with Python Nanodegree program Finle Capstone Project
User: rajpatel-rp7
Home Page: https://classroom.udacity.com/nanodegrees/nd089
densenet121,A Deep Learning Projects For Diagnosis of COVID Disease by Chest X-Ray Images.
User: rajsoni03
Home Page: https://covid-ai-app.herokuapp.com/
densenet121,Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
User: sakib1263
densenet121,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.
User: sankalpjain99
densenet121,Diabetic Foot Ulcer Classification using Deep Learning to classify Diabetic Foot Ulcer images and Healthy Skin images.
User: saquib4u
densenet121,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.
User: shivamgupta92
densenet121,Retinal disease detection using optical coherence tomography (OCT) and deep neural networks.
User: shre-db
Home Page: https://retinavisionai.streamlit.app/
densenet121,Breast Cancer H&E classification of Images and Image Generation
User: sidraansari
densenet121,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.
User: soham2707
densenet121,Hello visitor,
User: sumit238
densenet121,Classifies whether an image is of a dog or cat using pre-trained models
User: surya-prakash-reddy
densenet121,
User: swimshahriar
densenet121,Ocular Disease Recognition from Fundus Photographs with CNN transfer learning.
User: sylwianowakowska
densenet121,Trabajo Fin de Máster: Estudio comparativo de un clasificador de imágenes en Raspberry Pi, de forma que se compara el tiempo de la inferencia en la Raspberry Pi con y sin el Neural Compute Stick (NCS). También se estudia como la complejidad de una red neuronal repercute en el tiempo de inferencia y se analiza si los tiempos obtenidos con el NCS en la Raspberry Pi se igualan a los conseguidos por la CPU del portátil y a los de una GPU de Google Colab.
User: valderas7
densenet121,This repository exposes the final year computer engineering undergraduate project called xRayAID
User: vinicius-trev
Home Page: https://xrayaid.com.br
densenet121,Innovation and Entrepreneurship Training Program for college students in 2019, ZengJin
User: zjese
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