abhaybd / Cat-Dog-CNN-Classifier
Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.
☆25Updated 7 years ago
Alternatives and similar repositories for Cat-Dog-CNN-Classifier:
Users that are interested in Cat-Dog-CNN-Classifier are comparing it to the libraries listed below
- Identifying retina images with diabetic retinopathy using convolutional neural networks.☆33Updated 6 years ago
- A Deep Convolutional Neural Network for Diabetic Retinopathy classification☆27Updated 5 years ago
- ☆41Updated 6 years ago
- DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretabili…☆119Updated last year
- AI app to detect breast cancer in histopathological database☆60Updated 4 years ago
- Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notifica…☆77Updated 5 months ago
- Machine learning classifier for cancer tissues 🔬☆74Updated 3 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 …☆76Updated 4 years ago
- Code for the kaggle challenge: Diabetic Retinopathy Detection (TensorFlow)☆30Updated 8 years ago
- Glaucoma detection using Deep Neural Networks☆39Updated 4 years ago
- This Repository contains cat dog image classifier model implemented Using Convolutional Neural Network.☆15Updated 6 years ago
- AUTOMATED TYPE CLASSIFICATION OF DIABETIC RETINOPATHY AND GLAUCOMA DETECTION USING DEEP LEARNING☆15Updated 5 years ago
- Diseases Detection from NIH Chest X-ray data☆78Updated 3 years ago
- Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and hence they have different treatment…☆14Updated 6 years ago
- Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign an…☆86Updated 7 years ago
- This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework☆22Updated 6 years ago
- BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from…☆103Updated last year
- The work I did under Dr. S.K. Pal in the 2016 winter break.☆26Updated 7 years ago
- Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in e…☆30Updated 5 years ago
- Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.☆34Updated 2 years ago
- A tool which implements Convolutional Neural Networks to train a predictive model to classify skin lesions.☆25Updated 5 years ago
- Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models☆156Updated 6 years ago
- Recognizing and localizing melanoma from other skin disease☆35Updated 5 months ago
- Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588☆60Updated 3 years ago
- [ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset☆60Updated last year
- Image Classification using SVM☆21Updated 5 years ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆45Updated 4 years ago
- Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification☆67Updated 5 years ago
- ☆17Updated 3 years ago
- Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images…☆42Updated 5 years ago