isic-2019
importedsoftware/isic-2019
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
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/wanghsinwei/isic-2019
- Documentation
- unknown
- Tags
- capstone-project · convolutional-neural-networks · dermatology · ensemble-model · fine-tuning · isic-2019 · keras · melanoma · out-of-distribution-detection · skin-cancer · skin-lesion-classification · tensorflow · transfer-learning · udacity · udacity-machine-learning-nanodegree
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- CIRCLedermatology · skin-lesion-classification
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
- CIRCLedermatology · skin-lesion-classification
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Mirror of https://github.com/arezou-pakzad/CIRCLe
- human-against-machinedermatology · melanoma
Deep learning on dermatoscopic images, with a browser demo that lets you try the task against the model.
- isic-dicm-17kdermatology · skin-cancer
Repository for the paper: "Skin Lesion Classification Using Dermoscopic Images and Clinical Metadata: Insights from Multimodal Models"
- sat-dadermatology · skin-cancer
Source code for the paper: "Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis".
- dark_corner_artifact_removaldermatology · isic-2019
Source code and experiments for the paper: "Dark Corner on Skin Lesion Image Dataset: Does it matter?"
- api.github.com/repos/wanghsinwei/isic-2019retrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2020-11-24, 21 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
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/v1/entries/24.json→ .entries["isic-2019"]
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