168 related articles for article (PubMed ID: 37967385)
1. Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears.
Kockwelp J; Thiele S; Bartsch J; Haalck L; Gromoll J; Schlatt S; Exeler R; Bleckmann A; Lenz G; Wolf S; Steffen B; Berdel WE; Schliemann C; Risse B; Angenendt L
Blood Adv; 2024 Jan; 8(1):70-79. PubMed ID: 37967385
[TBL] [Abstract][Full Text] [Related]
2. AMLnet, A deep-learning pipeline for the differential diagnosis of acute myeloid leukemia from bone marrow smears.
Yu Z; Li J; Wen X; Han Y; Jiang P; Zhu M; Wang M; Gao X; Shen D; Zhang T; Zhao S; Zhu Y; Tong J; Yuan S; Zhu H; Huang H; Qian P
J Hematol Oncol; 2023 Mar; 16(1):27. PubMed ID: 36945063
[TBL] [Abstract][Full Text] [Related]
3. Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears.
Eckardt JN; Middeke JM; Riechert S; Schmittmann T; Sulaiman AS; Kramer M; Sockel K; Kroschinsky F; Schuler U; Schetelig J; Röllig C; Thiede C; Wendt K; Bornhäuser M
Leukemia; 2022 Jan; 36(1):111-118. PubMed ID: 34497326
[TBL] [Abstract][Full Text] [Related]
4. Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry.
Lewis JE; Cooper LAD; Jaye DL; Pozdnyakova O
Mod Pathol; 2024 Jan; 37(1):100373. PubMed ID: 37925056
[TBL] [Abstract][Full Text] [Related]
5. Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears.
Eckardt JN; Schmittmann T; Riechert S; Kramer M; Sulaiman AS; Sockel K; Kroschinsky F; Schetelig J; Wagenführ L; Schuler U; Platzbecker U; Thiede C; Stölzel F; Röllig C; Bornhäuser M; Wendt K; Middeke JM
BMC Cancer; 2022 Feb; 22(1):201. PubMed ID: 35193533
[TBL] [Abstract][Full Text] [Related]
6. CDC-NET: a cell detection and confirmation network of bone marrow aspirate images for the aided diagnosis of AML.
Su J; Liu Y; Zhang J; Han J; Song J
Med Biol Eng Comput; 2024 Feb; 62(2):575-589. PubMed ID: 37953336
[TBL] [Abstract][Full Text] [Related]
7. An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears.
Lewis JE; Shebelut CW; Drumheller BR; Zhang X; Shanmugam N; Attieh M; Horwath MC; Khanna A; Smith GH; Gutman DA; Aljudi A; Cooper LAD; Jaye DL
Mod Pathol; 2023 Feb; 36(2):100003. PubMed ID: 36853796
[TBL] [Abstract][Full Text] [Related]
8. AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network: A STARD compliant diagnosis research.
Huang F; Guang P; Li F; Liu X; Zhang W; Huang W
Medicine (Baltimore); 2020 Nov; 99(45):e23154. PubMed ID: 33157999
[TBL] [Abstract][Full Text] [Related]
9. [Diagnosis of acute myelogenous leukemia].
Aul C; Fischer JT; Schneider W
Onkologie; 1983 Dec; 6(6):280-6. PubMed ID: 6366672
[TBL] [Abstract][Full Text] [Related]
10. The myelodysplastic syndromes: different evolution patterns based on sequential morphological and cytogenetic investigations.
Tricot G; Boogaerts MA; De Wolf-Peeters C; Van den Berghe H; Verwilghen RL
Br J Haematol; 1985 Apr; 59(4):659-70. PubMed ID: 3857071
[TBL] [Abstract][Full Text] [Related]
11. A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images.
Boldú L; Merino A; Acevedo A; Molina A; Rodellar J
Comput Methods Programs Biomed; 2021 Apr; 202():105999. PubMed ID: 33618145
[TBL] [Abstract][Full Text] [Related]
12. Classification of acute lymphoblastic leukemia using deep learning.
Rehman A; Abbas N; Saba T; Rahman SIU; Mehmood Z; Kolivand H
Microsc Res Tech; 2018 Nov; 81(11):1310-1317. PubMed ID: 30351463
[TBL] [Abstract][Full Text] [Related]
13. Distinct power of bone marrow microRNA signatures and tumor suppressor genes for early detection of acute leukemia.
Memari F; Tavakolpour V; Mohajeri N; Poopak B; Fallah P; Alizadeh E; Kouhkan F; Zarghami N
Clin Transl Oncol; 2022 Jul; 24(7):1372-1380. PubMed ID: 35247197
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence-assisted diagnosis of hematologic diseases based on bone marrow smears using deep neural networks.
Wang W; Luo M; Guo P; Wei Y; Tan Y; Shi H
Comput Methods Programs Biomed; 2023 Apr; 231():107343. PubMed ID: 36821974
[TBL] [Abstract][Full Text] [Related]
15. Low miR-192 expression predicts poor prognosis in pediatric acute myeloid leukemia.
Tian C; Zhang L; Li X; Zhang Y; Li J; Chen L
Cancer Biomark; 2018; 22(2):209-215. PubMed ID: 29689705
[TBL] [Abstract][Full Text] [Related]
16. Elevated IL-35 in bone marrow of the patients with acute myeloid leukemia.
Wang J; Tao Q; Wang H; Wang Z; Wu F; Pan Y; Tao L; Xiong S; Wang Y; Zhai Z
Hum Immunol; 2015 Sep; 76(9):681-6. PubMed ID: 26431888
[TBL] [Abstract][Full Text] [Related]
17. CD34 immunohistochemistry in bone marrow biopsies for early response assessment in acute myeloid leukemia.
Jain S; Mahapatra M; Pati HP
Int J Lab Hematol; 2015 Dec; 37(6):746-51. PubMed ID: 26248894
[TBL] [Abstract][Full Text] [Related]
18. Detection of acute promyelocytic leukemia in peripheral blood and bone marrow with annotation-free deep learning.
Manescu P; Narayanan P; Bendkowski C; Elmi M; Claveau R; Pawar V; Brown BJ; Shaw M; Rao A; Fernandez-Reyes D
Sci Rep; 2023 Feb; 13(1):2562. PubMed ID: 36781917
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.
Hazra D; Byun YC; Kim WJ
Comput Methods Programs Biomed; 2022 Sep; 224():107019. PubMed ID: 35878483
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
