Reconstruct Image from Patches with a Variable Stride
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Updated
Mar 4, 2020 - Python
Reconstruct Image from Patches with a Variable Stride
A modular, 3D unet built in keras for 3D medical image segmentation. Also includes useful classes for extracting and training on 3D patches for data augmentation or memory efficiency.
Image patch extractor with mask
OpenSlide Patch Manager
Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.
A project for aircraft image feature extraction and classification using the VGG16 model. It includes 20 different military aircraft classes.
This project detects breast cancer from histopathology images using a convolutional neural network (CNN). The system analyzes tissue images and classifies them as either normal or cancerous.
mpi4py based feature extraction/patch generation for deep learning applications on CT-images
A complete preprocessing and machine learning pipeline for crop classification using multispectral UAV orthoimages and temporal analysis.
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