NCBI PubMed Central
open access
Breast ultrasound images for segmentation and classification using multi-task U-Net.
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
- N-Unet: An Efficient Multi-Task Model for Precise Classification and Segmentation of Breast Ultrasound Images.#232343
- Application of Deep-learning and Ultrasound Elastography in Opportunistic Screening of Breast Cancer#827295
- Artificial intelligence-based multimodal integration of ultrasound and digital breast tomosynthesis for breast-level risk classification.#785553
- Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation#147120
- Evaluating multi-task network architectures for simultaneous breast lesion segmentation and classification in ultrasound images.#285001
Record · ID 340627
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