142 related articles for article (PubMed ID: 37565838)
1. Intra-nucleus mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing acute leukemia blasts on single cell peripheral blood images.
Tarquino J; Arabyarmohammadi S; Tejada RE; Madabhushi A; Romero E
Cytometry A; 2023 Nov; 103(11):857-867. PubMed ID: 37565838
[TBL] [Abstract][Full Text] [Related]
2. Development of a Novel Flow Cytometry-Based System for White Blood Cell Differential Counts: 10-color LeukoDiff.
Park D; Chang J; Kahng J; Park H; Jo I; Kim Y; Han K
Ann Lab Med; 2019 Mar; 39(2):141-149. PubMed ID: 30430776
[TBL] [Abstract][Full Text] [Related]
3. Feature Analysis and Automatic Identification of Leukemic Lineage Blast Cells and Reactive Lymphoid Cells from Peripheral Blood Cell Images.
Bigorra L; Merino A; Alférez S; Rodellar J
J Clin Lab Anal; 2017 Mar; 31(2):. PubMed ID: 27427422
[TBL] [Abstract][Full Text] [Related]
4. Simultaneous existence of acute myeloid leukemia and chronic lymphocytic leukemia: a case report.
Al Mussaed E; Osman H; Elyamany G
BMC Cancer; 2016 Sep; 16(1):739. PubMed ID: 27643996
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Computerized texture analysis of atypical immature myeloid precursors in patients with myelodysplastic syndromes: an entity between blasts and promyelocytes.
Vido JR; Adam RL; Lorand-Metze IG; Metze K
Diagn Pathol; 2011 Sep; 6():93. PubMed ID: 21958512
[TBL] [Abstract][Full Text] [Related]
7. Acute mixed lineage leukemia: clinicopathologic correlations and prognostic significance.
Mirro J; Zipf TF; Pui CH; Kitchingman G; Williams D; Melvin S; Murphy SB; Stass S
Blood; 1985 Nov; 66(5):1115-23. PubMed ID: 3931724
[TBL] [Abstract][Full Text] [Related]
8. Threshold estimation based on local minima for nucleus and cytoplasm segmentation.
Mayala S; Haugsøen JB
BMC Med Imaging; 2022 Apr; 22(1):77. PubMed ID: 35473495
[TBL] [Abstract][Full Text] [Related]
9. GFNB: Gini index-based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images.
Das BK; Dutta HS
Med Biol Eng Comput; 2020 Nov; 58(11):2789-2803. PubMed ID: 32929660
[TBL] [Abstract][Full Text] [Related]
10. A convolutional neural network-based, quantitative complete blood count scattergram-mapping framework promptly screens acute promyelocytic leukemia with high sensitivity.
Liao H; Xu Y; Meng Q; Mao Z; Qiao Y; Liu Y; Zheng Q
Cancer; 2023 Oct; 129(19):2986-2998. PubMed ID: 37254628
[TBL] [Abstract][Full Text] [Related]
11. Accurate automatic detection of acute lymphatic leukemia using a refined simple classification.
Al-Tahhan FE; Fares ME; Sakr AA; Aladle DA
Microsc Res Tech; 2020 Oct; 83(10):1178-1189. PubMed ID: 32497337
[TBL] [Abstract][Full Text] [Related]
12. Interleukin-6 production by the blast cells of acute myeloblastic leukemia: regulation by endogenous interleukin-1 and biological implications.
Beauchemin V; Villeneuve L; Rodriguez-Cimadevilla JC; Rajotte D; Kenney JS; Clark SC; Hoang T
J Cell Physiol; 1991 Sep; 148(3):353-61. PubMed ID: 1918169
[TBL] [Abstract][Full Text] [Related]
13. [FLT3-ITD and NPM1 mutation positive acute myeloid leukemia with cuplike blasts mimicking acute promyelocytic leukemia].
Aoyama K; Yamasaki Y; Mouri F; Maehiro Y; Takaki Y; Oya S; Nakamura T; Morishige S; Yamaguchi M; Nagafuji K
Rinsho Ketsueki; 2022; 63(7):764-769. PubMed ID: 35922945
[TBL] [Abstract][Full Text] [Related]
14. Acute myeloid leukemia with T-lymphoid features: a distinct biologic and clinical entity.
Cross AH; Goorha RM; Nuss R; Behm FG; Murphy SB; Kalwinsky DK; Raimondi S; Kitchingman GR; Mirro J
Blood; 1988 Aug; 72(2):579-87. PubMed ID: 3261183
[TBL] [Abstract][Full Text] [Related]
15. Automatic Recognition of Acute Myelogenous Leukemia in Blood Microscopic Images Using K-means Clustering and Support Vector Machine.
Kazemi F; Najafabadi TA; Araabi BN
J Med Signals Sens; 2016; 6(3):183-93. PubMed ID: 27563575
[TBL] [Abstract][Full Text] [Related]
16. A segmentation method based on HMRF for the aided diagnosis of acute myeloid leukemia.
Su J; Liu S; Song J
Comput Methods Programs Biomed; 2017 Dec; 152():115-123. PubMed ID: 29054251
[TBL] [Abstract][Full Text] [Related]
17. Pattern associated leukemia immunophenotypes and measurable disease detection in acute myeloid leukemia or myelodysplastic syndrome with mutated NPM1.
Zhou Y; Moon A; Hoyle E; Fromm JR; Chen X; Soma L; Salipante SJ; Wood BL; Wu D
Cytometry B Clin Cytom; 2019 Jan; 96(1):67-72. PubMed ID: 30417521
[TBL] [Abstract][Full Text] [Related]
18. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
19. A method comparison study of flow cytometry and cytomorphology to determine the percentages of blasts in patients with acute leukemia after induction and consolidation chemotherapy.
Wongprajun S; Auewarakul CU
J Med Assoc Thai; 2010 Jan; 93 Suppl 1():S157-64. PubMed ID: 20364570
[TBL] [Abstract][Full Text] [Related]
20. Hybrid adversarial-discriminative network for leukocyte classification in leukemia.
Zhang C; Wu S; Lu Z; Shen Y; Wang J; Huang P; Lou J; Liu C; Xing L; Zhang J; Xue J; Li D
Med Phys; 2020 Aug; 47(8):3732-3744. PubMed ID: 32180243
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
