HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning.
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| Title: | HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning. |
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| Authors: | Li W; Shanghai Tenth People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China., Zhang D; Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Peng E; Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Shen S; Shanghai Tenth People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China., Alinejad-Rokny H; UNSW BioMedical Machine Learning Lab (BML) School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, Australia., Liu Y; Department of Hepatobiliary Surgery, State Key Laboratory of Immune Response and Immunotherapy, Centre For Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China., Zheng J; Institute for Translational Medicine On Cell Fate and Disease, Shanghai Ninth People's Hospital, Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Jiang C; Shanghai Tenth People's Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China., Ye Y; Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China. |
| Source: | Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Mar; Vol. 13 (13), pp. e14351. Date of Electronic Publication: 2026 Jan 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2198-3844 |
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| DOI: | 10.1002/advs.202514351 |
