124 related articles for article (PubMed ID: 37424493)
1. Learning technology for detection and grading of cancer tissue using tumour ultrasound images1.
Zhang L; Xu R; Zhao J
J Xray Sci Technol; 2024; 32(1):157-171. PubMed ID: 37424493
[TBL] [Abstract][Full Text] [Related]
2. A divide and conquer approach to maximise deep learning mammography classification accuracies.
Jaamour A; Myles C; Patel A; Chen SJ; McMillan L; Harris-Birtill D
PLoS One; 2023; 18(5):e0280841. PubMed ID: 37235566
[TBL] [Abstract][Full Text] [Related]
3. Classification of rotator cuff tears in ultrasound images using deep learning models.
Ho TT; Kim GT; Kim T; Choi S; Park EK
Med Biol Eng Comput; 2022 May; 60(5):1269-1278. PubMed ID: 35043367
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Deep convolutional neural networks for mammography: advances, challenges and applications.
Abdelhafiz D; Yang C; Ammar R; Nabavi S
BMC Bioinformatics; 2019 Jun; 20(Suppl 11):281. PubMed ID: 31167642
[TBL] [Abstract][Full Text] [Related]
6. Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images.
Zhou J; Luo LY; Dou Q; Chen H; Chen C; Li GJ; Jiang ZF; Heng PA
J Magn Reson Imaging; 2019 Oct; 50(4):1144-1151. PubMed ID: 30924997
[TBL] [Abstract][Full Text] [Related]
7. Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks.
Ali MD; Saleem A; Elahi H; Khan MA; Khan MI; Yaqoob MM; Farooq Khattak U; Al-Rasheed A
Diagnostics (Basel); 2023 Jun; 13(13):. PubMed ID: 37443636
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.
Huang Y; Han L; Dou H; Luo H; Yuan Z; Liu Q; Zhang J; Yin G
Biomed Eng Online; 2019 Jan; 18(1):8. PubMed ID: 30678680
[TBL] [Abstract][Full Text] [Related]
10. Optimizing the transfer-learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images.
Saba T; Abunadi I; Sadad T; Khan AR; Bahaj SA
Microsc Res Tech; 2022 Apr; 85(4):1444-1453. PubMed ID: 34908213
[TBL] [Abstract][Full Text] [Related]
11. Breast cancer pathological image classification based on deep learning.
Hou Y
J Xray Sci Technol; 2020; 28(4):727-738. PubMed ID: 32390646
[TBL] [Abstract][Full Text] [Related]
12. Application of Deep Learning System Technology in Identification of Women's Breast Cancer.
Al Fryan LH; Shomo MI; Alazzam MB
Medicina (Kaunas); 2023 Mar; 59(3):. PubMed ID: 36984487
[No Abstract] [Full Text] [Related]
13. Detection of Breast Cancer Using Histopathological Image Classification Dataset with Deep Learning Techniques.
Reshma VK; Arya N; Ahmad SS; Wattar I; Mekala S; Joshi S; Krah D
Biomed Res Int; 2022; 2022():8363850. PubMed ID: 35281604
[TBL] [Abstract][Full Text] [Related]
14. Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.
Piantadosi G; Sansone M; Fusco R; Sansone C
Artif Intell Med; 2020 Mar; 103():101781. PubMed ID: 32143788
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion.
Zhuang Z; Yang Z; Raj ANJ; Wei C; Jin P; Zhuang S
Comput Methods Programs Biomed; 2021 Sep; 208():106221. PubMed ID: 34144251
[TBL] [Abstract][Full Text] [Related]
18. Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.
George K; Faziludeen S; Sankaran P; Joseph K P
Comput Biol Med; 2020 Sep; 124():103954. PubMed ID: 32777599
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.
Li X; Qin G; He Q; Sun L; Zeng H; He Z; Chen W; Zhen X; Zhou L
Eur Radiol; 2020 Feb; 30(2):778-788. PubMed ID: 31691121
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]