perception_comparison
importedsoftware/perception-comparison
Differences between human and machine perception in medical diagnosis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- nyukat
- Country
- unknown
- Homepage
- arxiv.org/abs/2011.14036
- Repository
- github.com/nyukat/perception_comparison
- Documentation
- unknown
- Tags
- breast-cancer · deep-learning · deep-neural-networks · medical-image-processing · medical-imaging
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- mammography_metarepositorybreast-cancer · medical-image-processing · medical-imaging
Meta-repository of screening mammography classifiers
- modelhubdeep-neural-networks · medical-image-processing · medical-imaging
A collection of deep learning models with a unified API.
- thyroid-usdeep-neural-networks · medical-image-processing · medical-imaging
Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)
- X-ray-classificationdeep-neural-networks · medical-image-processing · medical-imaging
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
- FocusLiteNNdeep-neural-networks · medical-image-processing
Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
- breast_cancer_classifierbreast-cancer · medical-imaging
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
- api.github.com/repos/nyukat/perception_comparisonretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-10-01, 32 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/20.json→ .entries["perception-comparison"]
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