183 related articles for article (PubMed ID: 36611418)
1. A Multi-Stage Approach to Breast Cancer Classification Using Histopathology Images.
Bagchi A; Pramanik P; Sarkar R
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611418
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Deep Learning-Based Multi-Class Classification of Breast Digital Pathology Images.
Mi W; Li J; Guo Y; Ren X; Liang Z; Zhang T; Zou H
Cancer Manag Res; 2021; 13():4605-4617. PubMed ID: 34140807
[TBL] [Abstract][Full Text] [Related]
4. An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.
Tripathi S; Singh SK; Lee HK
Comput Med Imaging Graph; 2021 Jan; 87():101838. PubMed ID: 33340945
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Multi-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple Self-Attention Head.
Ukwuoma CC; Hossain MA; Jackson JK; Nneji GU; Monday HN; Qin Z
Diagnostics (Basel); 2022 May; 12(5):. PubMed ID: 35626307
[TBL] [Abstract][Full Text] [Related]
7. Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features.
Roy SD; Das S; Kar D; Schwenker F; Sarkar R
Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34071029
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Detection of Breast Cancer with Lightweight Deep Neural Networks for Histology Image Classification.
Laxmisagar HS; Hanumantharaju MC
Crit Rev Biomed Eng; 2022; 50(2):1-19. PubMed ID: 36374820
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Multi-Class Classification of Breast Cancer Using 6B-Net with Deep Feature Fusion and Selection Method.
Umer MJ; Sharif M; Kadry S; Alharbi A
J Pers Med; 2022 Apr; 12(5):. PubMed ID: 35629106
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Semi-HIC: A novel semi-supervised deep learning method for histopathological image classification.
Su L; Liu Y; Wang M; Li A
Comput Biol Med; 2021 Oct; 137():104788. PubMed ID: 34461503
[TBL] [Abstract][Full Text] [Related]
17. Transfer Learning Based Lightweight Ensemble Model for Imbalanced Breast Cancer Classification.
Garg S; Singh P
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):1529-1539. PubMed ID: 35536810
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A semi-supervised learning approach with consistency regularization for tumor histopathological images analysis.
Jiang Y; Sui X; Ding Y; Xiao W; Zheng Y; Zhang Y
Front Oncol; 2022; 12():1044026. PubMed ID: 36698401
[TBL] [Abstract][Full Text] [Related]
20. BACH: Grand challenge on breast cancer histology images.
Aresta G; Araújo T; Kwok S; Chennamsetty SS; Safwan M; Alex V; Marami B; Prastawa M; Chan M; Donovan M; Fernandez G; Zeineh J; Kohl M; Walz C; Ludwig F; Braunewell S; Baust M; Vu QD; To MNN; Kim E; Kwak JT; Galal S; Sanchez-Freire V; Brancati N; Frucci M; Riccio D; Wang Y; Sun L; Ma K; Fang J; Kone I; Boulmane L; Campilho A; Eloy C; Polónia A; Aguiar P
Med Image Anal; 2019 Aug; 56():122-139. PubMed ID: 31226662
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
