301 related articles for article (PubMed ID: 35399225)
21. Automatic classification of acute lymphoblastic leukemia cells and lymphocyte subtypes based on a novel convolutional neural network.
MoradiAmin M; Yousefpour M; Samadzadehaghdam N; Ghahari L; Ghorbani M; Mafi M
Microsc Res Tech; 2024 Jul; 87(7):1615-1626. PubMed ID: 38445461
[TBL] [Abstract][Full Text] [Related]
22. Diagnosing acute promyelocytic leukemia by using convolutional neural network.
Ouyang N; Wang W; Ma L; Wang Y; Chen Q; Yang S; Xie J; Su S; Cheng Y; Cheng Q; Zheng L; Yuan Y
Clin Chim Acta; 2021 Jan; 512():1-6. PubMed ID: 33159948
[TBL] [Abstract][Full Text] [Related]
23. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
24. Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study.
Hegde RB; Prasad K; Hebbar H; Singh BMK
Australas Phys Eng Sci Med; 2019 Jun; 42(2):627-638. PubMed ID: 30830652
[TBL] [Abstract][Full Text] [Related]
25. CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.
Yang Z; Zhuang X; Mishra V; Sreenivasan K; Cordes D
Neuroimage; 2020 Sep; 218():116947. PubMed ID: 32474081
[TBL] [Abstract][Full Text] [Related]
26. Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed Algorithm.
Ghane N; Vard A; Talebi A; Nematollahy P
J Med Signals Sens; 2017; 7(2):92-101. PubMed ID: 28553582
[TBL] [Abstract][Full Text] [Related]
27. Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine.
Ravikumar S
Artif Cells Nanomed Biotechnol; 2016 May; 44(3):985-9. PubMed ID: 25707440
[TBL] [Abstract][Full Text] [Related]
28. Convolutional neural network-based skin image segmentation model to improve classification of skin diseases in conventional and non-standardized picture images.
Yanagisawa Y; Shido K; Kojima K; Yamasaki K
J Dermatol Sci; 2023 Jan; 109(1):30-36. PubMed ID: 36658056
[TBL] [Abstract][Full Text] [Related]
29. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
[TBL] [Abstract][Full Text] [Related]
30. Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.
Gherardini M; Mazomenos E; Menciassi A; Stoyanov D
Comput Methods Programs Biomed; 2020 Aug; 192():105420. PubMed ID: 32171151
[TBL] [Abstract][Full Text] [Related]
31. Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks.
Shafique S; Tehsin S
Technol Cancer Res Treat; 2018 Jan; 17():1533033818802789. PubMed ID: 30261827
[TBL] [Abstract][Full Text] [Related]
32. Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.
Guo X; Zhang N; Guo J; Zhang H; Hao Y; Hang J
Med Phys; 2019 Dec; 46(12):5666-5676. PubMed ID: 31610020
[TBL] [Abstract][Full Text] [Related]
33. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
P B S; Faruqi F; K S H; Kudva R
Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
[TBL] [Abstract][Full Text] [Related]
34. Improved Otsu and Kapur approach for white blood cells segmentation based on LebTLBO optimization for the detection of Leukemia.
Deshpande NM; Gite S; Pradhan B; Kotecha K; Alamri A
Math Biosci Eng; 2022 Jan; 19(2):1970-2001. PubMed ID: 35135238
[TBL] [Abstract][Full Text] [Related]
35. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
Gao K; Niu S; Ji Z; Wu M; Chen Q; Xu R; Yuan S; Fan W; Chen Y; Dong J
Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
[TBL] [Abstract][Full Text] [Related]
36. Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification.
Houssein EH; Mohamed O; Abdel Samee N; Mahmoud NF; Talaat R; Al-Hejri AM; Al-Tam RM
Front Oncol; 2023; 13():1230434. PubMed ID: 37771437
[TBL] [Abstract][Full Text] [Related]
37. Classification of Atypical White Blood Cells in Acute Myeloid Leukemia Using a Two-Stage Hybrid Model Based on Deep Convolutional Autoencoder and Deep Convolutional Neural Network.
Elhassan TA; Mohd Rahim MS; Siti Zaiton MH; Swee TT; Alhaj TA; Ali A; Aljurf M
Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673006
[TBL] [Abstract][Full Text] [Related]
38. Automatic segmentation of Sperm's parts in microscopic images of human semen smears using concatenated learning approaches.
Movahed RA; Mohammadi E; Orooji M
Comput Biol Med; 2019 Jun; 109():242-253. PubMed ID: 31096088
[TBL] [Abstract][Full Text] [Related]
39. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.
Wu J; Xin J; Yang X; Sun J; Xu D; Zheng N; Yuan C
Med Phys; 2019 Dec; 46(12):5544-5561. PubMed ID: 31356693
[TBL] [Abstract][Full Text] [Related]
40. Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model.
Hu Y; Guo Y; Wang Y; Yu J; Li J; Zhou S; Chang C
Med Phys; 2019 Jan; 46(1):215-228. PubMed ID: 30374980
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
