Focalizing regions of biomarker relevance facilitates biomarker prediction on histopathological images
文献类型：期刊论文
| 作者 | Gan, Jiefeng16; Wang, Hanchen14,15; Yu, Hui13; He, Zitong12; Zhang, Wenjuan11; Ma, Ke16; Zhu, Lianghui10; Bai, Yutong12; Zhou, Zongwei12; Yullie, Alan12 |
| 刊名 | ISCIENCE
 |
| 出版日期 | 2023-10-20 |
| 卷号 | 26期号:10页码:15 |
| DOI | 10.1016/j.isci.2023.107243 |
| 通讯作者 | Wang, Xinggang(xgwang@hust.edu.cn) ; Chen, Yaobing(2013tj0513@hust.edu.cn) ; Wang, Guoping(wanggp@hust.edu.cn) ; Xia, Tian(tianxia@hust.edu.cn) |
| 英文摘要 | Image-based AI has thrived as a potentially revolutionary tool for predicting molecular biomarker statuses, which aids in categorizing patients for appropriate medical treatments. However, many methods using hematoxylin and eosin-stained (H&E) whole-slide images (WSIs) have been found to be inefficient because of the presence of numerous uninformative or irrelevant image patches. In this study, we introduced the region of biomarker relevance (ROB) concept to identify the morphological areas most closely associated with biomarkers for accurate status prediction. We actualized this concept within a framework called saliency ROB search (SRS) to enable efficient and effective predictions. By evaluating various lung adenocarcinoma (LUAD) biomarkers, we showcased the superior performance of SRS compared to current state-of-the-art AI approaches. These findings suggest that AI tools, built on the ROB concept, can achieve enhanced molecular biomarker prediction accuracy from pathological images. |
| WOS关键词 | CLASSIFICATION |
| 资助项目 | China Hainan Provincial Major Science and Technology Project[ZDKJ2021028] ; University of Texas MD Anderson Lung Moon Shot Program ; University of Texas MD Anderson Cancer Center Core Grant[P30 CA01667] ; National Institutes of Health (NIH)[P30 CA01667] ; AACR-Johnson & Johnson Lung Cancer Innovation Science Grant[R00CA218667] ; Rexanna's Foundation for Fighting Lung Cancer, Sabin Family Fund, Rydin Family Research Fund ; University of Texas MD Anderson Cancer Center Core Grant ; National Institutes of Health (NIH) ; AACR-Johnson & Johnson Lung Cancer Innovation Science Grant |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001084798500001 |
| 出版者 | CELL PRESS |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/307560]  |
| 专题 | 中国科学院上海药物研究所 |
| 通讯作者 | Wang, Xinggang; Chen, Yaobing; Wang, Guoping; Xia, Tian |
| 作者单位 | 1.Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan, Peoples R China 2.Univ Texas MD Anderson Canc Ctr, Translat Mol Pathol, Houston, TX 77030 USA 3.Univ Texas MD Anderson Canc Ctr, Thorac Head & Neck Med Oncol, Houston, TX 77030 USA 4.Stanford Univ, Sch Med, Dept Radiat Oncol, 875 Blake Wilbur Dr, Palo Alto, CA 94304 USA 5.Baylor Coll Med, One Baylor Plaza, Houston, TX 77030 USA 6.Wuhan Blood Ctr, Wuhan 43000, Hubei, Peoples R China 7.Huazhong Univ Sci & Technol, Tongji Hosp, Dept Informat Management, Wuhan 430000, Hubei, Peoples R China 8.Chinese Acad Sci, Natl Ctr Drug Screening, Shanghai Inst Mat Med, Shanghai 201203, Peoples R China 9.Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, Wuhan 43000, Hubei, Peoples R China 10.Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430000, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gan, Jiefeng,Wang, Hanchen,Yu, Hui,et al. Focalizing regions of biomarker relevance facilitates biomarker prediction on histopathological images[J]. ISCIENCE,2023,26(10):15. |
| APA | Gan, Jiefeng.,Wang, Hanchen.,Yu, Hui.,He, Zitong.,Zhang, Wenjuan.,...&Xia, Tian.(2023).Focalizing regions of biomarker relevance facilitates biomarker prediction on histopathological images.ISCIENCE,26(10),15. |
| MLA | Gan, Jiefeng,et al."Focalizing regions of biomarker relevance facilitates biomarker prediction on histopathological images".ISCIENCE 26.10(2023):15. |
入库方式： OAI收割
来源：上海药物研究所
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