146 related articles for article (PubMed ID: 36878133)
1. A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation.
Sirjani N; Ghelich Oghli M; Kazem Tarzamni M; Gity M; Shabanzadeh A; Ghaderi P; Shiri I; Akhavan A; Faraji M; Taghipour M
Phys Med; 2023 Mar; 107():102560. PubMed ID: 36878133
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study.
Ferreira MR; Torres HR; Oliveira B; de Araujo ARVF; Morais P; Novais P; Vilaca JL
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083151
[TBL] [Abstract][Full Text] [Related]
3. CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images.
Tasnim J; Hasan MK
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38056017
[No Abstract] [Full Text] [Related]
4. A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
Zhu YC; AlZoubi A; Jassim S; Jiang Q; Zhang Y; Wang YB; Ye XD; DU H
Ultrasonics; 2021 Feb; 110():106300. PubMed ID: 33232887
[TBL] [Abstract][Full Text] [Related]
5. Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network.
Alom MZ; Yakopcic C; Nasrin MS; Taha TM; Asari VK
J Digit Imaging; 2019 Aug; 32(4):605-617. PubMed ID: 30756265
[TBL] [Abstract][Full Text] [Related]
6. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
Zhang E; Seiler S; Chen M; Lu W; Gu X
Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
[TBL] [Abstract][Full Text] [Related]
7. An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures.
Cao Z; Duan L; Yang G; Yue T; Chen Q
BMC Med Imaging; 2019 Jul; 19(1):51. PubMed ID: 31262255
[TBL] [Abstract][Full Text] [Related]
8. New one-step model of breast tumor locating based on deep learning.
Tao C; Chen K; Han L; Peng Y; Li C; Hua Z; Lin J
J Xray Sci Technol; 2019; 27(5):839-856. PubMed ID: 31306148
[TBL] [Abstract][Full Text] [Related]
9. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism.
Islam W; Jones M; Faiz R; Sadeghipour N; Qiu Y; Zheng B
Tomography; 2022 Sep; 8(5):2411-2425. PubMed ID: 36287799
[TBL] [Abstract][Full Text] [Related]
12. An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images.
Daoud MI; Al-Ali A; Alazrai R; Al-Najar MS; Alsaify BA; Ali MZ; Alouneh S
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146070
[TBL] [Abstract][Full Text] [Related]
13. Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.
Abunasser BS; Al-Hiealy MRJ; Zaqout IS; Abu-Naser SS
Asian Pac J Cancer Prev; 2023 Feb; 24(2):531-544. PubMed ID: 36853302
[TBL] [Abstract][Full Text] [Related]
14. Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.
El Agouri H; Azizi M; El Attar H; El Khannoussi M; Ibrahimi A; Kabbaj R; Kadiri H; BekarSabein S; EchCharif S; Mounjid C; El Khannoussi B
BMC Res Notes; 2022 Feb; 15(1):66. PubMed ID: 35183227
[TBL] [Abstract][Full Text] [Related]
15. Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
Ciritsis A; Rossi C; Eberhard M; Marcon M; Becker AS; Boss A
Eur Radiol; 2019 Oct; 29(10):5458-5468. PubMed ID: 30927100
[TBL] [Abstract][Full Text] [Related]
16. An Ad Hoc Random Initialization Deep Neural Network Architecture for Discriminating Malignant Breast Cancer Lesions in Mammographic Images.
Duggento A; Aiello M; Cavaliere C; Cascella GL; Cascella D; Conte G; Guerrisi M; Toschi N
Contrast Media Mol Imaging; 2019; 2019():5982834. PubMed ID: 31249497
[TBL] [Abstract][Full Text] [Related]
17. Determination of mammographic breast density using a deep convolutional neural network.
Ciritsis A; Rossi C; Vittoria De Martini I; Eberhard M; Marcon M; Becker AS; Berger N; Boss A
Br J Radiol; 2019 Jan; 92(1093):20180691. PubMed ID: 30209957
[TBL] [Abstract][Full Text] [Related]
18. Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach.
Ru J; Zhu Z; Shi J
BMC Med Imaging; 2024 Jun; 24(1):133. PubMed ID: 38840240
[TBL] [Abstract][Full Text] [Related]
19. Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features.
Daoud MI; Abdel-Rahman S; Bdair TM; Al-Najar MS; Al-Hawari FH; Alazrai R
Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33265900
[TBL] [Abstract][Full Text] [Related]
20. A Deep Learning Method for Breast Cancer Classification in the Pathology Images.
Liu M; Hu L; Tang Y; Wang C; He Y; Zeng C; Lin K; He Z; Huo W
IEEE J Biomed Health Inform; 2022 Oct; 26(10):5025-5032. PubMed ID: 35776828
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]