ICIAR2018
importedsoftware/iciar2018-alexander-rakhlin
Our solution for ICIAR 2018 Grand Challenge
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/alexander-rakhlin/ICIAR2018
- Documentation
- unknown
- Tags
- computer-aided-diagnosis · computer-vision · deep-learning · healthcare · iciar-challenge · machine-learning · microscopy-images
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- metacomputer-aided-diagnosis
:paperclip: About MIMBCD-UI Project
- EM-toolmicroscopy-images
an ImageJ toolset for EM image analysis
- nd2readermicroscopy-images
Pure Python library for reading NIS Elements ND2 images and metadata
- webknossosmicroscopy-images
Visualize, share and annotate your large 3D images online
- Corrected-Skin-Image-Datasetscomputer-aided-diagnosis
Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets
- The NMT Scalp EEG Dataset: An Open-Source Annotated Dataset of Healthy and Pathological E…computer-aided-diagnosis
Dataset Overview The NMT Scalp EEG Dataset is an open source collection of 2,417 anonymised scalp electroencephalogram recordings obtained from unique participants. The collection contains…
- api.github.com/repos/alexander-rakhlin/ICIAR2018retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2020-12-16, 193 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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