These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram. Al-Antari MA, Al-Masni MA, Kim TS. Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663 [Abstract] [Full Text] [Related]
4. 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 [Abstract] [Full Text] [Related]
5. Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN). Agnes SA, Anitha J, Pandian SIA, Peter JD. J Med Syst; 2019 Dec 14; 44(1):30. PubMed ID: 31838610 [Abstract] [Full Text] [Related]
8. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system. Al-Masni MA, Al-Antari MA, Park JM, Gi G, Kim TY, Rivera P, Valarezo E, Choi MT, Han SM, Kim TS. Comput Methods Programs Biomed; 2018 Apr 14; 157():85-94. PubMed ID: 29477437 [Abstract] [Full Text] [Related]
9. Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network. Jung H, Kim B, Lee I, Yoo M, Lee J, Ham S, Woo O, Kang J. PLoS One; 2018 Apr 14; 13(9):e0203355. PubMed ID: 30226841 [Abstract] [Full Text] [Related]
12. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks. Bandeira Diniz JO, Bandeira Diniz PH, Azevedo Valente TL, Corrêa Silva A, de Paiva AC, Gattass M. Comput Methods Programs Biomed; 2018 Mar 14; 156():191-207. PubMed ID: 29428071 [Abstract] [Full Text] [Related]
13. Detecting and classifying lesions in mammograms with Deep Learning. Ribli D, Horváth A, Unger Z, Pollner P, Csabai I. Sci Rep; 2018 Mar 15; 8(1):4165. PubMed ID: 29545529 [Abstract] [Full Text] [Related]
14. Deep learning for mass detection in Full Field Digital Mammograms. Agarwal R, Díaz O, Yap MH, Lladó X, Martí R. Comput Biol Med; 2020 Jun 15; 121():103774. PubMed ID: 32339095 [Abstract] [Full Text] [Related]
16. Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms. Al-Antari MA, Han SM, Kim TS. Comput Methods Programs Biomed; 2020 Nov 15; 196():105584. PubMed ID: 32554139 [Abstract] [Full Text] [Related]
17. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. Samala RK, Chan HP, Hadjiiski L, Helvie MA, Wei J, Cha K. Med Phys; 2016 Dec 15; 43(12):6654. PubMed ID: 27908154 [Abstract] [Full Text] [Related]
18. Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach. Mahmood T, Li J, Pei Y, Akhtar F, Rehman MU, Wasti SH. PLoS One; 2022 Dec 15; 17(1):e0263126. PubMed ID: 35085352 [Abstract] [Full Text] [Related]
20. Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network. Al-Masni MA, Al-Antari MA, Park JM, Gi G, Kim TY, Rivera P, Valarezo E, Han SM, Kim TS. Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul 15; 2017():1230-1233. PubMed ID: 29060098 [Abstract] [Full Text] [Related] Page: [Next] [New Search]