shhubhxm / Skin-Disease-Detection-Team-Technophile
We are team technophiles and participated in 48hrs hackathon organized by Nirma University in collabration with Binghamton University. Our Problem Definition : To develop a solution, the first step is to understand the problem. The problem here is to develop an Application Programming Interface which can be easily integrated with Android and IOS…
☆17Updated 4 years ago
Alternatives and similar repositories for Skin-Disease-Detection-Team-Technophile:
Users that are interested in Skin-Disease-Detection-Team-Technophile are comparing it to the libraries listed below
- Recognizing and localizing melanoma from other skin disease☆34Updated 9 months ago
- Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notifica…☆89Updated 9 months ago
- Deep learning applied to Kaggle's Diabetic retinopathy dataset.☆48Updated last year
- DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretabili…☆126Updated last year
- Skin Disease Detection web app predict the skin disease from a single image in less than one second.☆41Updated 2 years ago
- Identifying retina images with diabetic retinopathy using convolutional neural networks.☆34Updated 6 years ago
- Deep Learning Project on Diabetic Retinopathy Detection - TUM Team ID 47☆23Updated 7 years ago
- A Django application developped for classification of a diabetes complication that affects eyes☆100Updated 6 months ago
- ☆13Updated 5 years ago
- This is a 5 Class Image Classification Task based on a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The …☆84Updated 4 years ago
- Detecting lung cancer from annotated CT scans of lung lesions from the LUNA16 dataset using CNN and GAN☆24Updated 6 years ago
- Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this pr…☆22Updated 4 years ago
- Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset☆83Updated 2 years ago
- Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification☆69Updated 5 years ago
- This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.☆63Updated last year
- exudates detection using hybrid approach (Image Morphology & Machine Learning)☆65Updated 6 years ago
- AUTOMATED TYPE CLASSIFICATION OF DIABETIC RETINOPATHY AND GLAUCOMA DETECTION USING DEEP LEARNING☆15Updated 6 years ago
- (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.☆34Updated 5 years ago
- Deep transfer learning-based skin cancer detection flask web app deployed on Heroku☆38Updated 5 years ago
- ☆43Updated 6 years ago
- This project was developed during 24hr Hackathon - Unscript 2k19. It is a service as telegram bot that takes infected skin image as input…☆16Updated 5 years ago
- Webapp for classification of Diabetic Retinopathy from retinal images using flask and keras☆9Updated last year
- Glaucoma detection automation project. Trained a binary image classifier using CNNs and deployed as a streamlit web app. It takes eye (re…☆21Updated 3 years ago
- Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset lar…☆71Updated 4 years ago
- Glaucoma detection using Deep Neural Networks☆39Updated 4 years ago
- Skin lesion detection from dermoscopic images using Convolutional Neural Networks☆57Updated 6 years ago
- Machine Learning for Skin Disease Classification☆89Updated 3 years ago
- We proposed an image processing-based method to detect skin diseases. This method takes the digital image of disease effect skin area and…☆18Updated 3 years ago
- A project to detect Kidney stone in the Ultrasound and/or CT scan images using Image processing and Machine Learning.☆28Updated 3 years ago
- An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images☆39Updated 6 years ago