242 related articles for article (PubMed ID: 37282580)
1. Review on Deep Learning-Based CAD Systems for Breast Cancer Diagnosis.
Arun Kumar S; Sasikala S
Technol Cancer Res Treat; 2023; 22():15330338231177977. PubMed ID: 37282580
[TBL] [Abstract][Full Text] [Related]
2. Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods.
Ranjbarzadeh R; Dorosti S; Jafarzadeh Ghoushchi S; Caputo A; Tirkolaee EB; Ali SS; Arshadi Z; Bendechache M
Comput Biol Med; 2023 Jan; 152():106443. PubMed ID: 36563539
[TBL] [Abstract][Full Text] [Related]
3. Review on Computer Aided Breast Cancer Detection and Diagnosis using Machine Learning Methods on Mammogram Image.
Kuttan GO; Elayidom MS
Curr Med Imaging; 2023; 19(12):1361-1371. PubMed ID: 36788681
[TBL] [Abstract][Full Text] [Related]
4. CAD and AI for breast cancer-recent development and challenges.
Chan HP; Samala RK; Hadjiiski LM
Br J Radiol; 2020 Apr; 93(1108):20190580. PubMed ID: 31742424
[TBL] [Abstract][Full Text] [Related]
5. Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review.
Gardezi SJS; Elazab A; Lei B; Wang T
J Med Internet Res; 2019 Jul; 21(7):e14464. PubMed ID: 31350843
[TBL] [Abstract][Full Text] [Related]
6. Breast cancer detection using deep learning: Datasets, methods, and challenges ahead.
Din NMU; Dar RA; Rasool M; Assad A
Comput Biol Med; 2022 Oct; 149():106073. PubMed ID: 36103745
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.
Geras KJ; Mann RM; Moy L
Radiology; 2019 Nov; 293(2):246-259. PubMed ID: 31549948
[TBL] [Abstract][Full Text] [Related]
9. Deep learning in mammography and breast histology, an overview and future trends.
Hamidinekoo A; Denton E; Rampun A; Honnor K; Zwiggelaar R
Med Image Anal; 2018 Jul; 47():45-67. PubMed ID: 29679847
[TBL] [Abstract][Full Text] [Related]
10. Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images.
R K; H HM; S M; Venkatraman R; Patil S
Med Biol Eng Comput; 2023 Nov; 61(11):2843-2857. PubMed ID: 37495885
[TBL] [Abstract][Full Text] [Related]
11. 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
[TBL] [Abstract][Full Text] [Related]
12. Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.
Kim S-; Choi Y; Kim E-; Han BK; Yoon JH; Choi JS; Chang JM
Sci Rep; 2021 Jan; 11(1):395. PubMed ID: 33432076
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence in breast imaging.
Le EPV; Wang Y; Huang Y; Hickman S; Gilbert FJ
Clin Radiol; 2019 May; 74(5):357-366. PubMed ID: 30898381
[TBL] [Abstract][Full Text] [Related]
14. 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
[TBL] [Abstract][Full Text] [Related]
15. Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms.
Sahu A; Das PK; Meher S
Phys Med; 2023 Oct; 114():103138. PubMed ID: 37914431
[TBL] [Abstract][Full Text] [Related]
16. Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review.
Ramadan SZ
J Healthc Eng; 2020; 2020():9162464. PubMed ID: 32300474
[TBL] [Abstract][Full Text] [Related]
17. Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks.
Burt JR; Torosdagli N; Khosravan N; RaviPrakash H; Mortazi A; Tissavirasingham F; Hussein S; Bagci U
Br J Radiol; 2018 Sep; 91(1089):20170545. PubMed ID: 29565644
[TBL] [Abstract][Full Text] [Related]
18. Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.
Li L; Liu Z; Huang H; Lin M; Luo D
Thorac Cancer; 2019 Feb; 10(2):183-192. PubMed ID: 30536611
[TBL] [Abstract][Full Text] [Related]
19. 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
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided detection and diagnosis of breast cancer with mammography: recent advances.
Tang J; Rangayyan RM; Xu J; El Naqa I; Yang Y
IEEE Trans Inf Technol Biomed; 2009 Mar; 13(2):236-51. PubMed ID: 19171527
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
