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3d_hyperdense_seg

3d_unet

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

fiberseg

Interactive zone for Fiber Segmentation

image-segmentation

iseg-2019

Implementation of iSeg-2019

medicalimaging

Work about Medical Image Segmentation

spore-segmentation

Combined CNN and Random Forest Approach

sporeunet

We developed a deep learning algorithm using UNet and attention mechanisms to accurately detect and characterize bacterial spores and cells in dense images. The algorithm can quantify the position, area, and circularity of individual bacterial spores and vegetative cells in images containing over 10,000 cells.

updated-maskrcnn

variant-3d-unet-for-infant-brain

An varient form of 3D_UNet architecture for Infant Brain Segmentation

yolo-on-custom-data

YOLOv8 is the latest family of YOLO based Object Detection models from Ultralytics providing state-of-the-art performance. It providing a unified framework for training models for performing Object Detection, Instance Segmentation, and Image Classification.