NCBI PubMed Central
open access
Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settings.
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.
Checking your browser - reCAPTCHA Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.
Related documents
- Enhancing breast cancer detection accuracy through machine learning, deep learning and transfer learning techniques for clinical practice.#489469
- Breast cancer detection and classification via a robust deep learning approach.#382462
- N-Unet: An Efficient Multi-Task Model for Precise Classification and Segmentation of Breast Ultrasound Images.#232343
- An interpretable ultrasound-based deep learning system for early breast cancer in a Chinese population.#265450
- Deep Learning Based Intelligent Tumor Analytics Framework for Quantitative Grading and Analyzing Cancer Metastasis: Case of Lymph Node Breast Cancer#274647
Record · ID 15244 · SHA-256 3cbf487cd88fb601
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