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Journal Abstract Search
891 related items for PubMed ID: 29477437
1. 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; 157():85-94. PubMed ID: 29477437 [Abstract] [Full Text] [Related]
2. 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; 2017():1230-1233. PubMed ID: 29060098 [Abstract] [Full Text] [Related]
3. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. Al-Antari MA, Al-Masni MA, Choi MT, Han SM, Kim TS. Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964 [Abstract] [Full Text] [Related]
4. YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms. Aly GH, Marey M, El-Sayed SA, Tolba MF. Comput Methods Programs Biomed; 2021 Mar; 200():105823. PubMed ID: 33190942 [Abstract] [Full Text] [Related]
5. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram. Al-Antari MA, Al-Masni MA, Kim TS. Adv Exp Med Biol; 2020 Mar; 1213():59-72. PubMed ID: 32030663 [Abstract] [Full Text] [Related]
6. 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; 43(12):6654. PubMed ID: 27908154 [Abstract] [Full Text] [Related]
9. A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology. Qiu Y, Yan S, Gundreddy RR, Wang Y, Cheng S, Liu H, Zheng B. J Xray Sci Technol; 2017 Dec; 25(5):751-763. PubMed ID: 28436410 [Abstract] [Full Text] [Related]
11. 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; 156():191-207. PubMed ID: 29428071 [Abstract] [Full Text] [Related]
14. Large scale deep learning for computer aided detection of mammographic lesions. Kooi T, Litjens G, van Ginneken B, Gubern-Mérida A, Sánchez CI, Mann R, den Heeten A, Karssemeijer N. Med Image Anal; 2017 Jan; 35():303-312. PubMed ID: 27497072 [Abstract] [Full Text] [Related]