282 related articles for article (PubMed ID: 28646155)
1. Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.
Han Z; Wei B; Zheng Y; Yin Y; Li K; Li S
Sci Rep; 2017 Jun; 7(1):4172. PubMed ID: 28646155
[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. 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]
4. MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images.
Chattopadhyay S; Dey A; Singh PK; Oliva D; Cuevas E; Sarkar R
Comput Biol Med; 2022 Nov; 150():106155. PubMed ID: 36240595
[TBL] [Abstract][Full Text] [Related]
5. MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Gandomkar Z; Brennan PC; Mello-Thoms C
Artif Intell Med; 2018 Jun; 88():14-24. PubMed ID: 29705552
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.
El Agouri H; Azizi M; El Attar H; El Khannoussi M; Ibrahimi A; Kabbaj R; Kadiri H; BekarSabein S; EchCharif S; Mounjid C; El Khannoussi B
BMC Res Notes; 2022 Feb; 15(1):66. PubMed ID: 35183227
[TBL] [Abstract][Full Text] [Related]
9. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images.
Aatresh AA; Alabhya K; Lal S; Kini J; Saxena PUP
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1549-1563. PubMed ID: 34053009
[TBL] [Abstract][Full Text] [Related]
10. Breast cancer pathological image classification based on deep learning.
Hou Y
J Xray Sci Technol; 2020; 28(4):727-738. PubMed ID: 32390646
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning.
Aljuaid H; Alturki N; Alsubaie N; Cavallaro L; Liotta A
Comput Methods Programs Biomed; 2022 Aug; 223():106951. PubMed ID: 35767911
[TBL] [Abstract][Full Text] [Related]
13. Label-Efficient Breast Cancer Histopathological Image Classification.
Qi Q; Li Y; Wang J; Zheng H; Huang Y; Ding X; Rohde GK
IEEE J Biomed Health Inform; 2019 Sep; 23(5):2108-2116. PubMed ID: 30530374
[TBL] [Abstract][Full Text] [Related]
14. Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module.
Jiang Y; Chen L; Zhang H; Xiao X
PLoS One; 2019; 14(3):e0214587. PubMed ID: 30925170
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Classification of breast tumors by using a novel approach based on deep learning methods and feature selection.
Kutluer N; Solmaz OA; Yamacli V; Eristi B; Eristi H
Breast Cancer Res Treat; 2023 Jul; 200(2):183-192. PubMed ID: 37210703
[TBL] [Abstract][Full Text] [Related]
17. Breast cancer histopathological image classification using a hybrid deep neural network.
Yan R; Ren F; Wang Z; Wang L; Zhang T; Liu Y; Rao X; Zheng C; Zhang F
Methods; 2020 Feb; 173():52-60. PubMed ID: 31212016
[TBL] [Abstract][Full Text] [Related]
18. Patch-based system for Classification of Breast Histology images using deep learning.
Roy K; Banik D; Bhattacharjee D; Nasipuri M
Comput Med Imaging Graph; 2019 Jan; 71():90-103. PubMed ID: 30594745
[TBL] [Abstract][Full Text] [Related]
19. Dilated and soft attention-guided convolutional neural network for breast cancer histology images classification.
Zhong Y; Piao Y; Zhang G
Microsc Res Tech; 2022 Apr; 85(4):1248-1257. PubMed ID: 34859543
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment.
To T; Gheshlaghi SH; Ye DH
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1891-1894. PubMed ID: 36086063
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
