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isic-2019

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software/isic-2019

ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

Machine-generated from the listed sources and not yet reviewed by a human.

isic-2019 project image
GitHub preview card for wanghsinwei/isic-2019. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
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
similar by tags

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?"

sources
  1. api.github.com/repos/wanghsinwei/isic-2019
    retrieved 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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machine-readable

/v1/entries/24.json→ .entries["isic-2019"]

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