نتائج البحث

Predicting pathological staging of non-small cell lung cancer using a multi-task radiomics model integrating intratumoral and peritumoral features.

• Authors : Pan, Ruonan¹ (AUTHOR); Lu, Xiaoqian¹ (AUTHOR); Dong, Xin¹ (AUTHOR)

• Source: Oncology Letters. Sep2025, Vol. 30 Issue 3, pN.PAG-N.PAG. 1p.

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Machine learning-based radiomics models for the prediction of metachronous liver metastases in patients with colorectal cancer: A multimodal study.

• Authors : Wang JP; Department of Radiology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang 312000, P.R. China.; Zhang ZN

• Source: Oncology letters [Oncol Lett] 2025 Jun 11; Vol. 30 (2), pp. 394. Date of Electronic Publication: 2025 Jun 11 (Print Publication: 2025).Publisher: Spandidos Publications] Country of Publication: Greece NLM ID: 101531236 Publication Model: eCollection Cited Medium: Internet ISSN:

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Machine learning‑based radiomics models accurately predict Crohn's disease‑related anorectal cancer

• Authors : Yuki, Horio; Jota, Ikeda; Kentaro, Matsumoto

• Source: Oncology Letters. 28

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Diagnostic value of MRI radiomics in differentiating high‑grade glioma from low‑grade glioma: A meta‑analysis.

• Authors : Wang, Jiefang¹ (AUTHOR); Chen, Zhichao² (AUTHOR); Chen, Jieyun¹ (AUTHOR)

• Source: Oncology Letters. Oct2023, Vol. 26 Issue 4, pN.PAG-N.PAG. 1p.

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Machine learning‑based radiomics models for prediction of locoregional recurrence in patients with breast cancer.

• Authors : Lee, Joongyo^1,2 (AUTHOR); Yoo, Sang Kyun¹ (AUTHOR); Kim, Kangpyo^1,3 (AUTHOR)

• Source: Oncology Letters. Oct2023, Vol. 26 Issue 4, pN.PAG-N.PAG. 1p.

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Preoperative prediction of vessel invasion in locally advanced gastric cancer based on computed tomography radiomics and machine learning

• Authors : Hu, Zhi-Wei; Liang, Pan; Li, Zhi-Li

Subjects: Articles; 3. Good health

• Source: Oncol Lett

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Radiomics predicts survival of patients with advanced non‑small cell lung cancer undergoing PD‑1 blockade using Nivolumab

• Authors : Nardone V.; Tini P.; Pastina P. ...

Subjects: Programmed cell death protein 1; Survival; Immunology

• Source: Oncology Letters.

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Correlation between DCE‑MRI radiomics features and Ki‑67 expression in invasive breast cancer.

• Authors : Juan, Ma-Wen^1,2,3,4,5 (AUTHOR); Yu, Ji^1,2,3,4 (AUTHOR); Peng, Guo-Xin^1,2,3,4 (AUTHOR)

• Source: Oncology Letters. Oct2018, Vol. 16 Issue 4, p5084-5090. 7p. 1 Chart, 4 Graphs.

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Machine learning‑based radiomics models accurately predict Crohn's disease‑related anorectal cancer.

• Authors : Horio, Yuki; Ikeda, Jota; Matsumoto, Kentaro

Subjects: MACHINE learning; CROHN'S disease; FEATURE extraction

• Source: Oncology Letters; Sep2024, Vol. 28 Issue 3, pN.PAG-N.PAG, 1p

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Radiomics predicts survival of patients with advanced non-small cell lung cancer undergoing PD-1 blockade using Nivolumab.

• Authors : Nardone, Valerio; Tini, Paolo; Pastina, Pierpaolo

Subjects: NON-small-cell lung carcinoma; IMMUNOTHERAPY; PROGRESSION-free survivalITALY

• Source: Oncology Letters; Feb2020, Vol. 19 Issue 2, p1559-1566, 8p

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