Repositorio UCB
metadata only
Optimized Mammography Preprocessing for Tumor Detection with YOLO11-Seg in Young Women from the Bolivian Altiplano
Early diagnosis of breast cancer in young women presents a critical clinical challenge, particularly in geographic contexts such as the Bolivian Altiplano, where high breast density and limited access to specialized technologies hinder detection. This study evaluates the impact of various image prep
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
- Long-Term Outcomes of Türkiye's First Population-Based Mammography Screening Program: a Decade of Breast Cancer Detection and Survival Analysis in Bahçeşehir#681791
- Clinical guidelines for the management of mammographic density: a systematic review of breast screening guidelines worldwide#305929
- BC-SwinNet: Swin transformer and CNN with multi-objective optimization for multi-class breast cancer detection using Histopathological images.#242253
- Energy consumption of standard and contrast-enhanced mammography: a step towards sustainable breast imaging#311565
- Radiological and Biological Tumoural and Peri-tumoural Factors in Neoadjuvant Endocrine-treated Breast Cancers#1229600
Record · ID 1347845
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