Keras R-CNN: library for cell detection in biological images using deep neural networks.

ABSTRACT:

Background

A common yet still manual task in basic biology research, high-throughput drug screening and digital pathology is identifying the number, location, and type of individual cells in images. Object detection methods can be useful for identifying individual cells as well as their phenotype in one step. State-of-the-art deep learning for object detection is poised to improve the accuracy and efficiency of biological image analysis.

Results

We created Keras R-CNN to bring leading computational research to the everyday practice of bioimage analysts. Keras R-CNN implements deep learning object detection techniques using Keras and Tensorflow ( https://github.com/broadinstitute/keras-rcnn ). We demonstrate the command line tool's simplified Application Programming Interface

SUBMITTER: Hung J 

PROVIDER: S-EPMC7353739 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature