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Expansion Pathology Framework for classification of Early Stage Neoplastic Breast Lesions (Normal, UDH, ADH and DCIS) - Matlab

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ExPath

ExPath Image Classification Framework

Expansion Pathology Iamge Classification: This framework classify Expansion pathology images into Normal, Benign Breast Lesions (UDH and ADH) and Pre-invasvie Breast Leasions. This framework consisted of three components:

1- Nuclei Segmentation and Feature Extraction written in matlab

2- Nuclei Segmentation Evalaution written in matlab using LabelMe API

3- Image Classification written in R

This image classification framework for post-expansion DAPI-stained images includes foreground detection, nucleus seed detection, and nuclear segmentation. Following application of the framework, we extract three kinds of features from each segmented nucleus from both the pre-expanded and post-expanded images: nuclear morphology features, nuclear intensity features, and nuclear texture features.

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Expansion Pathology Framework for classification of Early Stage Neoplastic Breast Lesions (Normal, UDH, ADH and DCIS) - Matlab

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