157 related articles for article (PubMed ID: 33769183)
1. Sliding window based deep ensemble system for breast cancer classification.
Alqudah A; Alqudah AM
J Med Eng Technol; 2021 May; 45(4):313-323. PubMed ID: 33769183
[TBL] [Abstract][Full Text] [Related]
2. Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.
Abunasser BS; Al-Hiealy MRJ; Zaqout IS; Abu-Naser SS
Asian Pac J Cancer Prev; 2023 Feb; 24(2):531-544. PubMed ID: 36853302
[TBL] [Abstract][Full Text] [Related]
3. BCDnet: Parallel heterogeneous eight-class classification model of breast pathology.
He Q; Cheng G; Ju H
PLoS One; 2021; 16(7):e0253764. PubMed ID: 34252112
[TBL] [Abstract][Full Text] [Related]
4. Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix.
Hao Y; Zhang L; Qiao S; Bai Y; Cheng R; Xue H; Hou Y; Zhang W; Zhang G
PLoS One; 2022; 17(5):e0267955. PubMed ID: 35511877
[TBL] [Abstract][Full Text] [Related]
5. Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images.
Alirezazadeh P; Dornaika F
Comput Biol Med; 2023 Nov; 166():107528. PubMed ID: 37774559
[TBL] [Abstract][Full Text] [Related]
6. Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning.
Srikantamurthy MM; Rallabandi VPS; Dudekula DB; Natarajan S; Park J
BMC Med Imaging; 2023 Jan; 23(1):19. PubMed ID: 36717788
[TBL] [Abstract][Full Text] [Related]
7. Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images-a Comparative Insight.
Sharma S; Mehra R
J Digit Imaging; 2020 Jun; 33(3):632-654. PubMed ID: 31900812
[TBL] [Abstract][Full Text] [Related]
8. Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method.
Sepahvand M; Abdali-Mohammadi F
Comput Biol Med; 2022 Jun; 145():105413. PubMed ID: 35325731
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models.
Hameed Z; Zahia S; Garcia-Zapirain B; Javier Aguirre J; María Vanegas A
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32764398
[TBL] [Abstract][Full Text] [Related]
12. Deep Convolutional Neural Networks for breast cancer screening.
Chougrad H; Zouaki H; Alheyane O
Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
[TBL] [Abstract][Full Text] [Related]
13. Non-annotated renal histopathological image analysis with deep ensemble learning.
Koo JC; Ke Q; Hum YC; Goh CH; Lai KW; Yap WS; Tee YK
Quant Imaging Med Surg; 2023 Sep; 13(9):5902-5920. PubMed ID: 37711826
[TBL] [Abstract][Full Text] [Related]
14. Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation.
Boumaraf S; Liu X; Wan Y; Zheng Z; Ferkous C; Ma X; Li Z; Bardou D
Diagnostics (Basel); 2021 Mar; 11(3):. PubMed ID: 33809611
[TBL] [Abstract][Full Text] [Related]
15. Feature Generalization for Breast Cancer Detection in Histopathological Images.
Das R; Kaur K; Walia E
Interdiscip Sci; 2022 Jun; 14(2):566-581. PubMed ID: 35482216
[TBL] [Abstract][Full Text] [Related]
16. Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer.
Sannasi Chakravarthy SR; Bharanidharan N; Vinoth Kumar V; Mahesh TR; Alqahtani MS; Guluwadi S
BMC Med Imaging; 2024 Apr; 24(1):82. PubMed ID: 38589813
[TBL] [Abstract][Full Text] [Related]
17. Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks.
Ali MD; Saleem A; Elahi H; Khan MA; Khan MI; Yaqoob MM; Farooq Khattak U; Al-Rasheed A
Diagnostics (Basel); 2023 Jun; 13(13):. PubMed ID: 37443636
[TBL] [Abstract][Full Text] [Related]
18. Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images.
Oyelade ON; Ezugwu AE; Venter HS; Mirjalili S; Gandomi AH
Comput Biol Med; 2022 Oct; 149():105943. PubMed ID: 35986967
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of transfer learning of pre-trained CNNs applied to breast cancer detection on infrared images.
Chaves E; Gonçalves CB; Albertini MK; Lee S; Jeon G; Fernandes HC
Appl Opt; 2020 Jun; 59(17):E23-E28. PubMed ID: 32543509
[TBL] [Abstract][Full Text] [Related]
20. A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices.
Choudhary T; Mishra V; Goswami A; Sarangapani J
Comput Biol Med; 2021 Jul; 134():104432. PubMed ID: 33964737
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]