1108 related articles for article (PubMed ID: 32422473)
1. Computer assisted recognition of breast cancer in biopsy images via fusion of nucleus-guided deep convolutional features.
George K; Sankaran P; K PJ
Comput Methods Programs Biomed; 2020 Oct; 194():105531. PubMed ID: 32422473
[TBL] [Abstract][Full Text] [Related]
2. Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.
George K; Faziludeen S; Sankaran P; Joseph K P
Comput Biol Med; 2020 Sep; 124():103954. PubMed ID: 32777599
[TBL] [Abstract][Full Text] [Related]
3. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.
Zhang Y; Allem JP; Unger JB; Boley Cruz T
J Med Internet Res; 2018 Nov; 20(11):e10513. PubMed ID: 30452385
[TBL] [Abstract][Full Text] [Related]
4. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
Xu Y; Jia Z; Wang LB; Ai Y; Zhang F; Lai M; Chang EI
BMC Bioinformatics; 2017 May; 18(1):281. PubMed ID: 28549410
[TBL] [Abstract][Full Text] [Related]
5. Classification of breast cancer histology images using Convolutional Neural Networks.
Araújo T; Aresta G; Castro E; Rouco J; Aguiar P; Eloy C; Polónia A; Campilho A
PLoS One; 2017; 12(6):e0177544. PubMed ID: 28570557
[TBL] [Abstract][Full Text] [Related]
6. BCHisto-Net: Breast histopathological image classification by global and local feature aggregation.
R R; Prasad K; Udupa CBK
Artif Intell Med; 2021 Nov; 121():102191. PubMed ID: 34763806
[TBL] [Abstract][Full Text] [Related]
7. Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis.
Morovati B; Lashgari R; Hajihasani M; Shabani H
J Digit Imaging; 2023 Dec; 36(6):2602-2612. PubMed ID: 37532925
[TBL] [Abstract][Full Text] [Related]
8. A framework for breast cancer classification using Multi-DCNNs.
Ragab DA; Attallah O; Sharkas M; Ren J; Marshall S
Comput Biol Med; 2021 Apr; 131():104245. PubMed ID: 33556893
[TBL] [Abstract][Full Text] [Related]
9. Breast cancer histopathology image classification through assembling multiple compact CNNs.
Zhu C; Song F; Wang Y; Dong H; Guo Y; Liu J
BMC Med Inform Decis Mak; 2019 Oct; 19(1):198. PubMed ID: 31640686
[TBL] [Abstract][Full Text] [Related]
10. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
Yang X; Liu C; Wang Z; Yang J; Min HL; Wang L; Cheng KT
Med Image Anal; 2017 Dec; 42():212-227. PubMed ID: 28850876
[TBL] [Abstract][Full Text] [Related]
11. Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering.
Nahid AA; Mehrabi MA; Kong Y
Biomed Res Int; 2018; 2018():2362108. PubMed ID: 29707566
[TBL] [Abstract][Full Text] [Related]
12. Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier.
Sohail A; Khan A; Nisar H; Tabassum S; Zameer A
Med Image Anal; 2021 Aug; 72():102121. PubMed ID: 34139665
[TBL] [Abstract][Full Text] [Related]
13. Automatic classification of tissue malignancy for breast carcinoma diagnosis.
Fondón I; Sarmiento A; García AI; Silvestre M; Eloy C; Polónia A; Aguiar P
Comput Biol Med; 2018 May; 96():41-51. PubMed ID: 29544146
[TBL] [Abstract][Full Text] [Related]
14. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
15. A multi-stage fusion framework to classify breast lesions using deep learning and radiomics features computed from four-view mammograms.
Jones MA; Sadeghipour N; Chen X; Islam W; Zheng B
Med Phys; 2023 Dec; 50(12):7670-7683. PubMed ID: 37083190
[TBL] [Abstract][Full Text] [Related]
16. Convolutional Neural Network Based Breast Cancer Histopathology Image Classification.
Yamlome P; Akwaboah AD; Marz A; Deo M
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1144-1147. PubMed ID: 33018189
[TBL] [Abstract][Full Text] [Related]
17. Deep feature-based automatic classification of mammograms.
Arora R; Rai PK; Raman B
Med Biol Eng Comput; 2020 Jun; 58(6):1199-1211. PubMed ID: 32200453
[TBL] [Abstract][Full Text] [Related]
18. Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.
Liu M; Wang X; Zhang H
Comput Methods Programs Biomed; 2018 Mar; 156():209-215. PubMed ID: 29428072
[TBL] [Abstract][Full Text] [Related]
19. Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN).
Agnes SA; Anitha J; Pandian SIA; Peter JD
J Med Syst; 2019 Dec; 44(1):30. PubMed ID: 31838610
[TBL] [Abstract][Full Text] [Related]
20. An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features.
Aswathy MA; Jagannath M
Med Biol Eng Comput; 2021 Sep; 59(9):1773-1783. PubMed ID: 34302269
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]