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Asset Detail:
Agnes McFarlin Tier 1 Submission
Asset Detail:
Agnes McFarlin Tier 1 Submission
Overview
ASSET LINK: | https://modac.cancer.gov/assetDetails?dme_data_id=NCI-DME-MS01-98736825 |
PROGRAM NAME: | Challenges |
STUDY NAME: | NCI Cancer Research Data Commons (CRDC) Artificial Intelligence Data-Readiness (AIDR) Challenge |
ASSET NAME: | Agnes McFarlin Tier 1 Submission |
ASSET PATH: | /NCI_DOE_Archive/challenges/crdc_aidr_challenge/agnes_mcfarlin_tier1_submission |
Asset Attributes
ATTRIBUTE | VALUE |
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ASSET NAME | Agnes McFarlin Tier 1 Submission |
ASSET DESCRIPTION | This asset contains the submission from Agnes McFarlin, the second place winner of the 2024 AI Data Readiness Challenge for the NCI Cancer Research Data Commons (CRDC) Tier 1: Single Modal Data Challenge. In this tier, participants must train an AI/ML model utilizing data from a single data class. Their submission focused on Category 4 (Diagnosis). General use case: Classify cancer cells versus healthy cells in a specific tissue. Specific use case: Use of radiological images from Imaging Data Commons, Cancer Imaging Archive, and Cancer Data Access System to identify cancerous lung nodules. |
ASSET IDENTIFIER | agnes_mcfarlin_tier1_submission |
ASSET TYPE | Model |
MODEL DOMAIN | classification |
MODEL FRAMEWORK | PyTorch |
MODEL PLATFORM | None |
PLATFORM VERSION | None |
POC NAME | Agnes McFarlin |
POC EMAIL | amcfarlin1991@gmail.com |
IS MODEL DEPLOYED | No |
COLLECTION SIZE | 3.8 MB |
CURATION STATUS | Unverified |
Asset Files
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