AI For Good Lab
Harnessing AI to help solve some of the world’s greatest challenges
工具
Lymphoma lesion segmentation DNN
2023年11月
Lymphoma lesion segmentation and quantitation plays a pivotal role in the diagnosis, treatment planning, and monitoring of lymphoma patients. Accurate segmentation allows for the precise delineation of pathological regions, aiding clinicians in assessing disease extent and progression. Moreover, lesion quantitation,…
Damage Assessment Visualizer
2022年11月
The Damage Assessment Visualizer leverages satellite imagery from a disaster region to visualize conditions of building and structures before and after a disaster. It includes a visual layer on top of the satellite images which predicts the extent of damage…
Satellite Imagery Labeling Tool
2022年11月
This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
BindVAE
2022年6月
Source code of BindVAE paper on Variational Auto Encoders for learning binding signatures of transcription factors. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02723-w
Data for society catalog
2022年5月
Microsoft is working to make data that is relevant to important social problems as open as possible, including by contributing open data ourselves. The Data for Society resource center provides access to Microsoft’s open datasets, resources, and tools to make…
Blue whale acoustics
2022年3月
The goal of this project is to use audio recordings and corresponding annotations to build an automatic classifier for calls from four different species of blue whales, and to estimate the total number of calls from each population in the…
Poultry Barn Mapping
2022年1月
A repository for training models from high-resolution aerial imagery and a dataset of predicted poultry barns across the United States.
Solar Farms Mapping
2022年1月
The Solar Farms Mapping release is an artificial intelligence dataset for solar energy locations in India – a spatially explicit machine learning model to map utility-scale solar projects across India using freely available satellite imagery.
COVID19-CT segmentation
2022年1月
This project provides code to train semantic segmentation models for pulmonary lesions segmentation from Computer Tomography (CT) scans. Furthermore, we present a multitask model for joint segmentation of different classes of pulmonary lesions present in COVID-19 infected lungs.