Kaggle: Cell Instance Segmentation

Last update: Aug 12, 2022

Overview

Kaggle: Cell Instance Segmentation

The goal of this challenge is to detect cells in microscope images.

with simple view on how many cels have been annotated per image:

Experimentation

install this tooling

A simple way how to use this basic functions:

! pip install https://github.com/Borda/kaggle_cell-inst-segm/archive/refs/heads/main.zip

run notebooks in Kaggle

local notebooks

some results

Training progress with EfficientNet3D with training for 10 epochs > over 96% validation accuracy:

Owner

Jirka Borovec

Computer Vision & Machine Learning & Bio-Medical Imaging & DeepLearn

GitHub Repository

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Kaggle: Cell Instance Segmentation

Related tags

Overview

Kaggle: Cell Instance Segmentation

Experimentation

install this tooling

run notebooks in Kaggle

local notebooks

some results

Owner

Jirka Borovec

This respository includes implementations on Manifoldron: Direct Space Partition via Manifold Discovery

Causal-Adversarial-Instruments - PyTorch Implementation for Developing Library of Investigating Adversarial Examples on A Causal View by Instruments

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Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

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An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

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Code release for Universal Domain Adaptation(CVPR 2019)

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Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".

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