78 Open source projects that are alternatives of or similar to FocusLiteNN

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

AI Toolkit for Healthcare Imaging

Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]

Framework for the reproducible processing of neuroimaging data with deep learning methods

TensorFlow (Python API) implementation of Neural Style

Multiple Meta-model Quantifying for Medical Visual Question Answering

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

2D Fourier Transform of Nuclear Magnetic Resonance Imaging raw data

Meta-repository of screening mammography classifiers

Multiclass image classification using Convolutional Neural Network

Implementation of cartoon GAN [Chen et al., CVPR18] with pytorch

CNN architecture for predicting DNA binding sites for Transcription Factors

C++ Implementation of Image Super-Resolution using Convolutional Neural Network

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

A convolutional neural network trained to recognize good* electronic music

Repository of paper "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks"

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

No description or website provided.

Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"

VNet for 3d volume segmentation

[IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

A little viewer for visualizing medical images and respective labels

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

The Haar wavelet-based perceptual similarity index (HaarPSI) is a similarity measure for images that aims to correctly assess the perceptual similarity between two images with respect to a human viewer.

Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"

No description or website provided.

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

The OHIF Medical Imaging Viewer is for viewing medical images. It can retrieve and load images from most sources and formats; render sets in 2D, 3D, and reconstructed representations; allows for the manipulation, annotation, and serialization of observations; supports internationalization, OpenID Connect, offline use, hotkeys, and many more features.

Yet Another Pixel Classifier (based on deep learning)

DICOM 3D Medical Image Modeling (DMIM)

Toolbox of commonly-used image quality assessment algorithms.

RESTful PACS server with plugins

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Pedestrian Detection using Non Maximum Suppression

U-Net for biomedical image segmentation

A deep learning framework for detecting lesions in CT scans from Deep Lesion dataset

A collection of deep learning models with a unified API.

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

Surgical Image Guidance and Healthcare Toolkit

Attention Unet model with post process for retina optic disc segmention

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

Sequential patch-based segmentation for medical image

Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Keras implementation of Character-level CNN for Text Classification

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.

An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Easily train an image classifier and then use it to label/tag other images