AI病理文献周选｜第04期（2026.06.07）

每周日更新，速览病理AI新进展，与您不见不散!

本期整理了6篇近期值得关注的病理AI研究，覆盖膀胱癌小活检肿瘤定位与风险分层、半监督腺体分割、肺癌新辅助后病理反应评估、子宫内膜癌分子分型、乳腺癌pCR预测，以及H&E切片识别ecDNA等方向。

1. Machine learning assessment of pathologic response in lung cancer resections after neoadjuvant therapy - IASLC MPR Project, Journal of Thoracic Oncology

2. Deep learning prediction of pathological complete response in breast cancer using Mamba architecture, npj Digital Medicine

3. AI-assisted histomorphological stratification of endometrial cancer: real-world validation of foundation models for molecular subtyping, npj Precision Oncology

4. ecPICK: A deep learning-enabled spatial diagnostic platform for direct ecDNA identification and clinical prognosis across pan-cancer histopathology, Theranostics

5. DPFR: Semi-supervised gland segmentation via density perturbation and feature recalibration, Medical Image Analysis

6. DS-MTNet: A dual-stream multi-task network for histopathology localization and histologic risk stratification from small biopsy specimens of bladder cancer, Computer Methods and Programs in Biomedicine

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