Aperta
metadata only
COLORECTAL CANCER TUMOR GRADE SEGMENTATION IN DIGITAL HISTOPATHOLOGY IMAGES: FROM GIGA TO MINI CHALLENGE
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
- Digital Mammography: Computer-Aided Breast Cancer Diagnosis#1138600
- DenseUNet for Breast Cancer Segmentation in Histopathological Images.#678292
- MD-Mamba: A multi-scale dilated state-space network for breast cancer histopathology image classification.#440841
- Histopathology Image Classification Using Machine Learning#442266
- Exploration of the Dynamic Changes and Mechanisms of the Immune Microenvironment in Advanced Colorectal Cancer Treated With IBI363 Combination Therapy#332752
Record · ID 407502
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