201 related articles for article (PubMed ID: 34071029)
1. 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]
2. Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.
Mercan E; Mehta S; Bartlett J; Shapiro LG; Weaver DL; Elmore JG
JAMA Netw Open; 2019 Aug; 2(8):e198777. PubMed ID: 31397859
[TBL] [Abstract][Full Text] [Related]
3. Identification and transfer of spatial transcriptomics signatures for cancer diagnosis.
Yoosuf N; Navarro JF; Salmén F; Ståhl PL; Daub CO
Breast Cancer Res; 2020 Jan; 22(1):6. PubMed ID: 31931856
[TBL] [Abstract][Full Text] [Related]
4. Automated detection and grading of Invasive Ductal Carcinoma breast cancer using ensemble of deep learning models.
Barsha NA; Rahman A; Mahdy MRC
Comput Biol Med; 2021 Dec; 139():104931. PubMed ID: 34666229
[TBL] [Abstract][Full Text] [Related]
5. Correlation of the ultrasound imaging of breast cancer and the expression of molecular biological indexes.
Xu J; Li F; Chang F
Pak J Pharm Sci; 2017 Jul; 30(4(Suppl.)):1425-1430. PubMed ID: 29043992
[TBL] [Abstract][Full Text] [Related]
6. Breast cancer diagnosis from histopathological images using textural features and CBIR.
Carvalho ED; Filho AOC; Silva RRV; Araújo FHD; Diniz JOB; Silva AC; Paiva AC; Gattass M
Artif Intell Med; 2020 May; 105():101845. PubMed ID: 32505426
[TBL] [Abstract][Full Text] [Related]
7. Differences and Relationships Between Normal and Atypical Ductal Hyperplasia, Ductal Carcinoma In Situ, and Invasive Ductal Carcinoma Tissues in the Breast Based on Raman Spectroscopy.
Han B; Du Y; Fu T; Fan Z; Xu S; Hu C; Bi L; Gao T; Zhang H; Xu W
Appl Spectrosc; 2017 Feb; 71(2):300-307. PubMed ID: 28181469
[TBL] [Abstract][Full Text] [Related]
8. Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT.
Yao X; Gan Y; Chang E; Hibshoosh H; Feldman S; Hendon C
Lasers Surg Med; 2017 Mar; 49(3):258-269. PubMed ID: 28264146
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images.
Abdolahi M; Salehi M; Shokatian I; Reiazi R
Med J Islam Repub Iran; 2020; 34():140. PubMed ID: 33437736
[No Abstract] [Full Text] [Related]
10. 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]
11. Detecting breast cancer using artificial intelligence: Convolutional neural network.
Choudhury A; Perumalla S
Technol Health Care; 2021; 29(1):33-43. PubMed ID: 32444590
[TBL] [Abstract][Full Text] [Related]
12. [Expression of fatty acid synthase and its association with HER2 in invasive ductal carcinoma of breast].
Yang M; Xu SP; Ao QL
Zhonghua Bing Li Xue Za Zhi; 2013 Apr; 42(4):257-61. PubMed ID: 23928534
[TBL] [Abstract][Full Text] [Related]
13. A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning.
Lu W; Li Z; Chu J
Comput Biol Med; 2017 Apr; 83():157-165. PubMed ID: 28282591
[TBL] [Abstract][Full Text] [Related]
14. Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images.
Voon W; Hum YC; Tee YK; Yap WS; Salim MIM; Tan TS; Mokayed H; Lai KW
Sci Rep; 2022 Nov; 12(1):19200. PubMed ID: 36357456
[TBL] [Abstract][Full Text] [Related]
15. Comparison of the association of mammographic density and clinical factors with ductal carcinoma in situ versus invasive ductal breast cancer in Korean women.
Ko H; Shin J; Lee JE; Nam SJ; Nguyen TL; Hopper JL; Song YM
BMC Cancer; 2017 Dec; 17(1):821. PubMed ID: 29207971
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Loss of heterozygosity analyses of asynchronous lesions of ductal carcinoma in situ and invasive ductal carcinoma of the human breast.
Amari M; Moriya T; Ishida T; Harada Y; Ohnuki K; Takeda M; Sasano H; Horii A; Ohuchi N
Jpn J Clin Oncol; 2003 Nov; 33(11):556-62. PubMed ID: 14711979
[TBL] [Abstract][Full Text] [Related]
18. Influence of ductal carcinoma in situ on the outcome of invasive breast cancer. A prospective cohort study.
Lopez Gordo S; Blanch Falp J; Lopez-Gordo E; Just Roig E; Encinas Mendez J; Seco Calvo J
Int J Surg; 2019 Mar; 63():98-106. PubMed ID: 30738200
[TBL] [Abstract][Full Text] [Related]
19. An interpretable semi-supervised framework for patch-based classification of breast cancer.
Shawi RE; Kilanava K; Sakr S
Sci Rep; 2022 Oct; 12(1):16734. PubMed ID: 36202832
[TBL] [Abstract][Full Text] [Related]
20. Recognizing breast ductal carcinoma in situ on fine-needle aspiration: a diagnostic dilemma.
Guo HQ; Zhang ZH; Zhao H; Zhao LL; Pan QJ
Diagn Cytopathol; 2013 Aug; 41(8):710-5. PubMed ID: 23729369
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]