Mask-RCNN

Description

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.

Nuclei Segmentation (Mask-RCNN)

Description

NEUBIAS-WG5 workflow for nuclei segmentation using Mask-RCNN. The workflow uses Matterport Mask-RCNN. Keras implementation. The model was trained with Kaggle 2018 Data Science Bowl images.

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Landmark detection DMBL model prediction

Description

This workflow predict landmark positions on images by using DMBL landmark detection models.

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Landmark detection DMBL model training

Description

This workflow trains DMBL landmark detection models from a dataset of annotated images.

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Landmark detection LC models prediction

Description

This workflow predict landmark positions on images by using LC landmark detection models.

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Landmark detection LC models training

Description

This workflow trains LC landmark detection models from a dataset of annotated images.

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Landmark detection MSET models prediction

Description

This workflow predict landmark positions on images by using MSET landmark detection models.

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Landmark detection MSET models training

Description

This workflow trains MSET landmark detection models from a dataset of annotated images.

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pydensecrf

Description

This is a (Cython-based) Python wrapper for Philipp Krähenbühl's Fully-Connected CRFs (version 2).

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PyTorch

Description

PyTorch is an open-source machine learning library for Python, based on Torch, used for applications such as natural language processing.

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