Deep Learning/ML: Detection/ Classification Problem
Budget: ₹1,500 – ₹12,500 INR
existing code and small dataset: https://github.com/seva100/optic-nerve-cnn :Optic disc and optic cup segmentation are two work done in this code, further cup to disc ratio can be used to detect glaucoma// check datasets and paper below, thanks
so further need of calculation of cup to disc ratio from segmented images and classification is needed to be done, if you want to continue the above work or you can implement from scratch
dataset : https://www.kaggle.com/sshikamaru/glaucoma-detection
extra data for test: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/1YRRAC
reference papers:
1. https://arxiv.org/abs/1704.00979 2. https://ieeexplore.ieee.org/document/9383215
3. https://www.researchgate.net/publication/350665157_Two-Dimensional_Compact_Variational_Mode_Decomposition-Based_Automatic_Classification_of_Glaucoma_Stages_From_Fundus_Images
ref. https://arxiv.org/abs/1903.10831
Aim: classification/ detection with given or better accuracy.
so further need of calculation of cup to disc ratio from segmented images and classification is needed to be done, if you want to continue the above work or you can implement from scratch
dataset : https://www.kaggle.com/sshikamaru/glaucoma-detection
extra data for test: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/1YRRAC
reference papers:
1. https://arxiv.org/abs/1704.00979 2. https://ieeexplore.ieee.org/document/9383215
3. https://www.researchgate.net/publication/350665157_Two-Dimensional_Compact_Variational_Mode_Decomposition-Based_Automatic_Classification_of_Glaucoma_Stages_From_Fundus_Images
ref. https://arxiv.org/abs/1903.10831
Aim: classification/ detection with given or better accuracy.