152 related articles for article (PubMed ID: 34771625)
1. Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas.
Yu WH; Li CH; Wang RC; Yeh CY; Chuang SS
Cancers (Basel); 2021 Oct; 13(21):. PubMed ID: 34771625
[TBL] [Abstract][Full Text] [Related]
2. The spectrum of intestinal mature T- and NK-cell neoplasms in a tertiary center in Taiwan with a high frequency of perforation.
Wang RC; Chen BJ; Yuan CT; Ho CH; Chuang WY; Chen SW; Chang JH; Yu WH; Chuang SS
Pathol Res Pract; 2022 Dec; 240():154184. PubMed ID: 36327820
[TBL] [Abstract][Full Text] [Related]
3. Targeted Next-generation Sequencing Reveals a Wide Morphologic and Immunophenotypic Spectrum of Monomorphic Epitheliotropic Intestinal T-Cell Lymphoma.
Hang JF; Yuan CT; Chang KC; Wang RC; Chen BJ; Hsieh PP; Huang WT; Chuang WY; Chen TW; Yeh YC; Lin SY; Hsiao CH; Chou SC; Tseng CE; Pan ST; Chang SL; Chuang SS
Am J Surg Pathol; 2022 Sep; 46(9):1207-1218. PubMed ID: 35551151
[TBL] [Abstract][Full Text] [Related]
4. Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas.
Hamdi M; Senan EM; Jadhav ME; Olayah F; Awaji B; Alalayah KM
Diagnostics (Basel); 2023 Jul; 13(13):. PubMed ID: 37443652
[TBL] [Abstract][Full Text] [Related]
5. Clinical and Histopathological Features of an Italian Monocentric Series of Primary Small Bowel T-Cell Lymphomas.
Lucioni M; Fraticelli S; Santacroce G; Bonometti A; Aronico N; Sciarra R; Lenti MV; Bianchi PI; Neri G; Feltri M; Neri B; Ferrario G; Riboni R; Corazza GR; Vanoli A; Arcaini L; Paulli M; Di Sabatino A
Cancers (Basel); 2023 May; 15(10):. PubMed ID: 37345080
[TBL] [Abstract][Full Text] [Related]
6. Primary cutaneous peripheral T-cell lymphoma with a late relapse solely in the ileum mimicking monomorphic epitheliotropic intestinal T-cell lymphoma.
Pan ST; Ko YH; Tan SY; Chuang SS
Pathol Res Pract; 2018 Dec; 214(12):2106-2109. PubMed ID: 30477646
[TBL] [Abstract][Full Text] [Related]
7. [Monomorphic epitheliotropic intestinal T-cell lymphoma: a clinicopathological analysis of twelve cases].
Chen CN; Wang Z; Jiang Y; Gao H; Tao R; Li J; Zhang ZH
Zhonghua Bing Li Xue Za Zhi; 2020 Jan; 49(1):17-21. PubMed ID: 31914529
[No Abstract] [Full Text] [Related]
8. Monomorphic Epitheliotropic Intestinal T-Cell Lymphoma With Extraintestinal Areas of Peripheral T-Cell Lymphoma Involvement.
Afzal A; Esmaeili A; Ibrahimi S; Farooque U; Gehrs B
Cureus; 2020 Aug; 12(8):e10021. PubMed ID: 32983716
[TBL] [Abstract][Full Text] [Related]
9. Proteomics and genomics of a monomorphic epitheliotropic intestinal T-cell lymphoma: An extremely rare case report and short review of literature.
Boșoteanu M; Cristian M; Așchie M; Deacu M; Mitroi AF; Brînzan CS; Bălțătescu GI
Medicine (Baltimore); 2022 Nov; 101(47):e31951. PubMed ID: 36451465
[TBL] [Abstract][Full Text] [Related]
10. Monomorphic Epitheliotropic Intestinal T-cell Lymphoma: A Study of Four Cases and Review of Literature.
Fei F; Reddy V; Patel CR; Dhall D; Lee G; Meng-Jun X; Al Diffalha S
Ann Clin Lab Sci; 2020 Nov; 50(6):806-812. PubMed ID: 33334797
[TBL] [Abstract][Full Text] [Related]
11. 18F-Fluorodeoxyglucose PET/CT and MRI Imaging Characteristics of Monomorphic Epitheliotropic Intestinal T-cell Lymphoma: A case report.
Zhang X; Liu S; Liu Y; Lv Z; Yang J
Curr Med Imaging; 2023 Jun; ():. PubMed ID: 37312445
[TBL] [Abstract][Full Text] [Related]
12. A case of intestinal T-cell lymphoma, not otherwise specified, that showed characteristic findings by magnified endoscopy combined with narrow-band imaging.
Hirose Y; Saito S; Nishiguchi T; Yamazaki D; Tateishi T; Saito Y; Komeno Y; Kodama M; Iwamoto S; Fukata M; Sako M
DEN Open; 2024 Apr; 4(1):e319. PubMed ID: 38023667
[TBL] [Abstract][Full Text] [Related]
13. T- and NK-cell lymphoproliferative disorders of the gastrointestinal tract: review and update.
van Vliet C; Spagnolo DV
Pathology; 2020 Jan; 52(1):128-141. PubMed ID: 31727264
[TBL] [Abstract][Full Text] [Related]
14. A Machine Learning Tool Using Digital Microscopy (Morphogo) for the Identification of Abnormal Lymphocytes in the Bone Marrow.
Tang G; Fu X; Wang Z; Chen M
Acta Cytol; 2021; 65(4):354-357. PubMed ID: 34350848
[TBL] [Abstract][Full Text] [Related]
15. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
[TBL] [Abstract][Full Text] [Related]
16. Use of deep learning for the classification of hyperplastic lymph node and common subtypes of canine lymphomas: a preliminary study.
Hubbard-Perez M; Luchian A; Milford C; Ressel L
Front Vet Sci; 2023; 10():1309877. PubMed ID: 38283371
[TBL] [Abstract][Full Text] [Related]
17. Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.
Han D; Liu J; Sun Z; Cui Y; He Y; Yang Z
Comput Methods Programs Biomed; 2020 Nov; 196():105651. PubMed ID: 32712571
[TBL] [Abstract][Full Text] [Related]
18. Clinical-grade endometrial cancer detection system
Zhang X; Ba W; Zhao X; Wang C; Li Q; Zhang Y; Lu S; Wang L; Wang S; Song Z; Shen D
Front Oncol; 2022; 12():1040238. PubMed ID: 36408137
[TBL] [Abstract][Full Text] [Related]
19. Gastrointestinal T- and NK-cell lymphomas and indolent lymphoproliferative disorders.
Soderquist CR; Bhagat G
Semin Diagn Pathol; 2020 Jan; 37(1):11-23. PubMed ID: 31522873
[TBL] [Abstract][Full Text] [Related]
20. Lymphoma images analysis using morphological and non-morphological descriptors for classification.
do Nascimento MZ; Martins AS; Azevedo Tosta TA; Neves LA
Comput Methods Programs Biomed; 2018 Sep; 163():65-77. PubMed ID: 30119858
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
