arXiv (All)
open access
Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief
computer-vision-and-pattern-recognitionhuman-computer-interactionimage-and-video-processingmachine-learning
Smartphone skin photographs are indispensable to teledermatology, yet assessing the diagnostic suitability of submitted cases (gradability) remains a critical bottleneck in mobile care workflows. Dermatologists routinely review multiple photographic views (regional, angled, and close-up) to identify
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief#921224
- Interest of Photographs by Smartphone in Dermatology#1113353
- Evaluation of a Non-Invasive Device for Early Detection of Atopic Dermatitis Flares#899836
- The Impact of Total Body Skin Examination on Skin Cancer Detection#853924
- Bioprinted skin: from lab bench to clinic, what matters now and what's next.#360749
Record · ID 925460
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive