184 related articles for article (PubMed ID: 35494077)
1. A Deep Learning Model for the Automatic Recognition of Aplastic Anemia, Myelodysplastic Syndromes, and Acute Myeloid Leukemia Based on Bone Marrow Smear.
Wang M; Dong C; Gao Y; Li J; Han M; Wang L
Front Oncol; 2022; 12():844978. PubMed ID: 35494077
[TBL] [Abstract][Full Text] [Related]
2. Clinical impact of dysplastic changes in acquired aplastic anemia: A systematic study of bone marrow biopsies in children and adults.
Marchesi RF; Velloso EDRP; Garanito MP; Leal AM; Siqueira SAC; Azevedo Neto RS; Rocha V; Zerbini MCN
Ann Diagn Pathol; 2020 Apr; 45():151459. PubMed ID: 32000075
[TBL] [Abstract][Full Text] [Related]
3. A novel automated image analysis system using deep convolutional neural networks can assist to differentiate MDS and AA.
Kimura K; Tabe Y; Ai T; Takehara I; Fukuda H; Takahashi H; Naito T; Komatsu N; Uchihashi K; Ohsaka A
Sci Rep; 2019 Sep; 9(1):13385. PubMed ID: 31527646
[TBL] [Abstract][Full Text] [Related]
4. [Changes and clinical significance of CD8(+) T cell subset in patients with aplastic anemia, myelodysplastic syndrome and acute myeloid leukemia].
Zhang JY; Xu HZ; Yin DM; Feng XM; Sui XH; Cui B; Ma CY
Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2013 Feb; 21(1):203-8. PubMed ID: 23484720
[TBL] [Abstract][Full Text] [Related]
5. Classification of acute myeloid leukemia M1 and M2 subtypes using machine learning.
Liu K; Hu J
Comput Biol Med; 2022 Aug; 147():105741. PubMed ID: 35738057
[TBL] [Abstract][Full Text] [Related]
6. [Expressive changes of CD4(+)T cell subset transcription factors in patients with aplastic anemia, myelodysplastic syndrome and acute myeloid leukemia and their clinical significances].
Feng XM; Xu HZ; Zhang JY; Yin DM; Liu MM; Sui XH
Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2014 Aug; 22(4):1038-42. PubMed ID: 25130824
[TBL] [Abstract][Full Text] [Related]
7. [Acquired aplastic anemia developing myelodysplastic syndrome/acute myeloid leukemia: clinical analysis of nineteen patients and literatures review].
Ma L; Li X; Zhang J; Shao Y; Nie N; Huang Z; Ge M; Zheng Y; Qu D; Shi J
Zhonghua Xue Ye Xue Za Zhi; 2015 Mar; 36(3):216-20. PubMed ID: 25854465
[TBL] [Abstract][Full Text] [Related]
8. Proposed criteria for classification of acute myeloid leukemia in dogs and cats.
Jain NC; Blue JT; Grindem CB; Harvey JW; Kociba GJ; Krehbiel JD; Latimer KS; Raskin RE; Thrall MA; Zinkl JG
Vet Clin Pathol; 1991; 20(3):63-82. PubMed ID: 12673541
[TBL] [Abstract][Full Text] [Related]
9. Histological and cytogenetic characterization of bone marrow in relation to prognosis and diagnosis of myelodysplastic syndromes.
Sakuma T; Hayashi Y; Kanomata N; Murayama T; Matsui T; Kajimoto K; Hanioka K; Chihara K; Maeda S
Pathol Int; 2006 Apr; 56(4):191-9. PubMed ID: 16634964
[TBL] [Abstract][Full Text] [Related]
10. [Comparative study on bone marrow megakaryocytes in children with thrombocytopenic purpura, aplastic anemia and myelodysplastic syndrome].
Hu T; Shi XD; Feng YL; Liu R; Li JH; Chen J; Wang TY
Zhonghua Er Ke Za Zhi; 2005 Mar; 43(3):183-7. PubMed ID: 15833188
[TBL] [Abstract][Full Text] [Related]
11. Quantitative Assessment of Bone Marrow Activity Using 18 F-FLT PET in Aplastic Anemia and Myelodysplastic Syndromes.
Tasaki T; Tsujikawa T; Hosono N; Mori T; Makino A; Kiyono Y; Okazawa H; Yamauchi T
Clin Nucl Med; 2022 Dec; 47(12):1048-1055. PubMed ID: 36190714
[TBL] [Abstract][Full Text] [Related]
12. Clonal evolutions during long-term cultures of bone marrow from de novo acute myeloid leukaemia with trilineage myelodysplasia and with myelodysplastic remission marrow.
Tamura S; Kanamaru A; Takemoto Y; Kakishita E; Nagai K
Br J Haematol; 1993 Jun; 84(2):219-26. PubMed ID: 8398821
[TBL] [Abstract][Full Text] [Related]
13. Genetic predisposition to myelodysplastic syndrome and acute myeloid leukemia in children and young adults.
Babushok DV; Bessler M; Olson TS
Leuk Lymphoma; 2016; 57(3):520-36. PubMed ID: 26693794
[TBL] [Abstract][Full Text] [Related]
14. [Ferrokinetics and bone marrow scanning in patients with myelodysplastic syndrome, hypoplastic myelodysplastic syndrome and aplastic anemia].
Ohno Y; Takahashi Y; Yoshida Y
Rinsho Ketsueki; 1993 Mar; 34(3):260-4. PubMed ID: 8479076
[TBL] [Abstract][Full Text] [Related]
15. Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes.
Zeng Z; Ma X; Guo Y; Ye B; Xu M; Wang W
J Magn Reson Imaging; 2021 Dec; 54(6):1754-1760. PubMed ID: 34117662
[TBL] [Abstract][Full Text] [Related]
16. Histopathology in the diagnosis and classification of acute myeloid leukemia, myelodysplastic syndromes, and myelodysplastic/myeloproliferative diseases.
Orazi A
Pathobiology; 2007; 74(2):97-114. PubMed ID: 17587881
[TBL] [Abstract][Full Text] [Related]
17. Aplastic anemia evolving into overt myelodysplastic syndrome/acute myeloid leukemia with t(3;5)(p25;q31).
Kawata E; Kuroda J; Kimura S; Kamitsuji Y; Kobayashi Y; Yoshikawa T
Cancer Genet Cytogenet; 2002 Sep; 137(2):91-4. PubMed ID: 12393278
[TBL] [Abstract][Full Text] [Related]
18. Hypoplastic myelodysplastic syndromes can be distinguished from acquired aplastic anaemia by bone marrow stem cell expression of the tumour necrosis factor receptor.
Kasahara S; Hara T; Itoh H; Ando K; Tsurumi H; Sawada M; Yamada T; Ohnishi H; Moriwaki H
Br J Haematol; 2002 Jul; 118(1):181-8. PubMed ID: 12100146
[TBL] [Abstract][Full Text] [Related]
19. Bone marrow free immune checkpoints as a potential biomarker for differential diagnosis of acquired bone marrow failures.
Zang M; Li N; Chen Q; Ran N; Fu R; Shao Z; Wang T
J Clin Lab Anal; 2022 Oct; 36(10):e24677. PubMed ID: 36086857
[TBL] [Abstract][Full Text] [Related]
20. Label-free imaging and identification of typical cells of acute myeloid leukaemia and myelodysplastic syndrome by Raman microspectroscopy.
Vanna R; Ronchi P; Lenferink AT; Tresoldi C; Morasso C; Mehn D; Bedoni M; Picciolini S; Terstappen LW; Ciceri F; Otto C; Gramatica F
Analyst; 2015 Feb; 140(4):1054-64. PubMed ID: 25568900
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]