| For: | Peng MH, Zhang KL, Guan SW, Lin Q, Yu HB. Advances and challenges in pathomics for liver cancer: From diagnosis to prognostic stratification. World J Clin Oncol 2025; 16(6): 107646 [PMID: 40585839 DOI: 10.5306/wjco.v16.i6.107646] |
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| URL: | https://www.wjgnet.com/2218-4333/full/v16/i6/107646.htm |
| Number | Citing Articles |
| 1 |
Xu Qi, Fei-Yu Zhao. Value of radiomics models in precision diagnosis of dual-phenotype hepatocellular carcinoma and intrahepatic cholangiocarcinoma. World Journal of Radiology 2025; 17(11): 114193 doi: 10.4329/wjr.v17.i11.114193
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| 2 |
Deependra Rastogi, Prashant Johri, Massimo Donelli, Tarun Agarwal, Shrikant Tiwari, Pushpa Singh. XAI-BT-EdgeNet: explainable edge-aware deep learning with squeeze-and-excitation for brain tumor detection and prediction. Frontiers in Artificial Intelligence 2025; 8 doi: 10.3389/frai.2025.1676524
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| 3 |
C. Corsaro, M.G. Rizzo, S. Conoci, S. Marrara, V. Crupi, F. Neri, E. Fazio. Enhancing molecular insights into 3D HepG2 tumor dynamics through Raman spectroscopy optimization. Journal of Quantitative Spectroscopy and Radiative Transfer 2026; 360 doi: 10.1016/j.jqsrt.2026.109959
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| 4 |
Jiping Luo, Jianzeng Ye, Kaipeng Huang, Ziyu Cheng, Liming Liu, Xianpeng Li. Nanomaterial-assisted immunodiagnostic profiling and therapeutic targeting of hepatocellular carcinoma: from molecular biomarkers to clinical applications. Frontiers in Immunology 2025; 16 doi: 10.3389/fimmu.2025.1668630
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| 5 |
Abbas Rahdar, Salar Mohammadi Shabestari, Mehrdad Najafi, Maryam Shirzad, Sadanand Pandey. Hybrid physics-informed machine learning and nanobiosensing strategies for precision liver cancer diagnostics. Computational Biology and Chemistry 2026; 123 doi: 10.1016/j.compbiolchem.2026.109025
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