222 related articles for article (PubMed ID: 33437736)
1. 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]
2. 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]
3. 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]
4. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
[TBL] [Abstract][Full Text] [Related]
5. Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.
Bejnordi BE; Zuidhof G; Balkenhol M; Hermsen M; Bult P; van Ginneken B; Karssemeijer N; Litjens G; van der Laak J
J Med Imaging (Bellingham); 2017 Oct; 4(4):044504. PubMed ID: 29285517
[TBL] [Abstract][Full Text] [Related]
6. Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection.
Wahab N; Khan A; Lee YS
Comput Biol Med; 2017 Jun; 85():86-97. PubMed ID: 28477446
[TBL] [Abstract][Full Text] [Related]
7. Automatic Pancreatic Ductal Adenocarcinoma Detection in Whole Slide Images Using Deep Convolutional Neural Networks.
Fu H; Mi W; Pan B; Guo Y; Li J; Xu R; Zheng J; Zou C; Zhang T; Liang Z; Zou J; Zou H
Front Oncol; 2021; 11():665929. PubMed ID: 34249702
[TBL] [Abstract][Full Text] [Related]
8. A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision.
Zeng Y; Zhang J
Comput Biol Med; 2020 Jul; 122():103861. PubMed ID: 32658738
[TBL] [Abstract][Full Text] [Related]
9. Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning.
Kanavati F; Tsuneki M
Cancers (Basel); 2021 Oct; 13(21):. PubMed ID: 34771530
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Brain tumor classification for MR images using transfer learning and fine-tuning.
Swati ZNK; Zhao Q; Kabir M; Ali F; Ali Z; Ahmed S; Lu J
Comput Med Imaging Graph; 2019 Jul; 75():34-46. PubMed ID: 31150950
[TBL] [Abstract][Full Text] [Related]
12. Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.
Sharma H; Zerbe N; Klempert I; Hellwich O; Hufnagl P
Comput Med Imaging Graph; 2017 Nov; 61():2-13. PubMed ID: 28676295
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Deep learning for colon cancer histopathological images analysis.
Ben Hamida A; Devanne M; Weber J; Truntzer C; Derangère V; Ghiringhelli F; Forestier G; Wemmert C
Comput Biol Med; 2021 Sep; 136():104730. PubMed ID: 34375901
[TBL] [Abstract][Full Text] [Related]
15. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
16. The Use of Convolutional Neural Networks in the Prediction of Invasive Ductal Carcinoma in Histological Images of Breast Cancer.
de Assis ÉG; do Patrocínio ZKG; Nobre CN
Stud Health Technol Inform; 2022 Jun; 290():587-591. PubMed ID: 35673084
[TBL] [Abstract][Full Text] [Related]
17. Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks.
Gecer B; Aksoy S; Mercan E; Shapiro LG; Weaver DL; Elmore JG
Pattern Recognit; 2018 Dec; 84():345-356. PubMed ID: 30679879
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading.
Jiménez G; Racoceanu D
Front Bioeng Biotechnol; 2019; 7():145. PubMed ID: 31281813
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Fine-tuning-based Transfer Learning for Characterization of Adeno-Associated Virus.
Khan AI; Kim MJ; Dutta P
J Signal Process Syst; 2022 Dec; 94(12):1515-1529. PubMed ID: 36742147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
