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3d-semantic-segmentation-for-the-brain-tissue-segmentation

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

alexnet-experiments-keras

Code examples for training AlexNet using Keras and Theano

art-net

This project presents a Single Input Multiple Output (SIMO) deep convolutional neural network, a so-called ART-Net (Augmented Reality Tool Network) consisting of an encoder-decoder architecture to obtain the surgical tool detection, segmentation, and geometric features concurrently in an end-to-end fashion.

automatic-mass-classification-in-breast

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

b31xb-iip-tp-1718

c-project

3D Kinect Scanner

cad-system-for-breast-images

In this project, background tissue types, class of abnormality types, severity class types of the breast will be implemented from the single CNN network.

cancer

Cancer classification, detection and segmentation

clr

cnnshapes

Visualizing intermediate activation in Convolutional Neural Networks with Keras

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

cvr-net

A robust CNN-based network, called CVR-Net (Coronavirus Recognition Network), for the automatic recognition of the coronavirus from CT or X-ray images.

cyclic-learning-rate

Cyclic learning rate TensorFlow implementation.

ddc-ac-dlir

Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography

diabetes-classification-dataset

In this article, we proposed a new labeled diabetes dataset from a South Asian country (Bangladesh). Additionally, we recommended an automated classification pipeline, introducing a weighted ensemble of several Machine Learning (ML) classifiers: Naive Bayes (NB), Random Forest (RF), Decision Tree (DT), XGBoost (XGB), and LightGBM (LGB). The critical hyperparameters of these ML models are tuned using a grid search hyperparameter optimization approach. Missing values imputation, feature selection, and K-fold cross-validation were also incorporated into the designed framework.

diabetes-prediction-using-ml-classifiers

A robust framework was proposed where outlier rejection, filling the missing values, data standardization, K-fold validation, and different Machine Learning (ML) classifiers were used. Finally, to improve the result, weighted ensembling of different ML models also proposed.

drnet_segmentation_localization_od_fovea

We propose an end-to-end encoder-decoder network, named DRNet, for the segmentation and localization of OD and Fovea centers. In our DRNet, we propose a skip connection, named residual skip connection, for compensating the lost spatial information due to pooling in the encoder.

eeg-datasets

A list of all public EEG-datasets

endovisposeannotation

This is our new multi-joint annotation for EndoVis MICCAI Challenge dataset ( https://endovissub-instrument.grand-challenge.org/), which can be used for multi-instrument pose estimation.

face-recognition

Deep face recognition with Keras, Dlib and OpenCV

face-recognition-using-cnn-on-keras-api

fashion-mnist-classifcations-using-cnn

This repository is dedicated to classify images (T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag and Ankle boot) using CNN

feedback_dlir

forest

a PGF/TikZ-based LaTeX package for drawing (linguistic) trees

git-lfs

Git extension for versioning large files

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

imagesegmentation

Perform image segmentation and background removal in javascript using superpixes

instrument-pose