Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.
Saved in:
| Title: | Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens. |
|---|---|
| Authors: | Liu X; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.; Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Li F; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China., Xu J; Department of Pathology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, People's Republic of China., Ma J; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China., Duan X; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China., Mao R; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Chen M; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Chen Z; Department of Gastrointestinal and Pancreatic Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Huang Y; Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Jiang J; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Huang B; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China. huangb@szu.edu.cn., Ye Z; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China. yeziyin@mail.sysu.edu.cn. |
| Source: | Virchows Archiv : an international journal of pathology [Virchows Arch] 2024 Jun; Vol. 484 (6), pp. 965-976. Date of Electronic Publication: 2024 Feb 08. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9423843 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2307 (Electronic) Linking ISSN: 09456317 NLM ISO Abbreviation: Virchows Arch Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1432-2307 |
|---|---|
| DOI: | 10.1007/s00428-024-03740-9 |
