155 related articles for article (PubMed ID: 33193807)
21. Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratification.
Wang X; Lederman D; Tan J; Wang XH; Zheng B
Acad Radiol; 2010 Oct; 17(10):1234-41. PubMed ID: 20619697
[TBL] [Abstract][Full Text] [Related]
22. Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.
Jebamony J; Jacob D
Curr Med Imaging; 2020; 16(6):703-710. PubMed ID: 32723242
[TBL] [Abstract][Full Text] [Related]
23. Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset.
Ha R; Chang P; Karcich J; Mutasa S; Pascual Van Sant E; Liu MZ; Jambawalikar S
Acad Radiol; 2019 Apr; 26(4):544-549. PubMed ID: 30072292
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms.
Zhang W; Doi K; Giger ML; Nishikawa RM; Schmidt RA
Med Phys; 1996 Apr; 23(4):595-601. PubMed ID: 8860907
[TBL] [Abstract][Full Text] [Related]
26. Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network.
Rahman H; Naik Bukht TF; Ahmad R; Almadhor A; Javed AR
Comput Intell Neurosci; 2023; 2023():7717712. PubMed ID: 36909966
[TBL] [Abstract][Full Text] [Related]
27. Detecting and classifying lesions in mammograms with Deep Learning.
Ribli D; Horváth A; Unger Z; Pollner P; Csabai I
Sci Rep; 2018 Mar; 8(1):4165. PubMed ID: 29545529
[TBL] [Abstract][Full Text] [Related]
28. 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
[TBL] [Abstract][Full Text] [Related]
29. 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
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram.
Oyelade ON; Ezugwu AE
Sci Rep; 2022 Apr; 12(1):5913. PubMed ID: 35396565
[TBL] [Abstract][Full Text] [Related]
32. Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.
Rampun A; López-Linares K; Morrow PJ; Scotney BW; Wang H; Ocaña IG; Maclair G; Zwiggelaar R; González Ballester MA; Macía I
Med Image Anal; 2019 Oct; 57():1-17. PubMed ID: 31254729
[TBL] [Abstract][Full Text] [Related]
33. Computerized nipple identification for multiple image analysis in computer-aided diagnosis.
Zhou C; Chan HP; Paramagul C; Roubidoux MA; Sahiner B; Hadjiiski LM; Petrick N
Med Phys; 2004 Oct; 31(10):2871-82. PubMed ID: 15543797
[TBL] [Abstract][Full Text] [Related]
34. Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.
Akselrod-Ballin A; Chorev M; Shoshan Y; Spiro A; Hazan A; Melamed R; Barkan E; Herzel E; Naor S; Karavani E; Koren G; Goldschmidt Y; Shalev V; Rosen-Zvi M; Guindy M
Radiology; 2019 Aug; 292(2):331-342. PubMed ID: 31210611
[TBL] [Abstract][Full Text] [Related]
35. Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study.
Hinton B; Ma L; Mahmoudzadeh AP; Malkov S; Fan B; Greenwood H; Joe B; Lee V; Kerlikowske K; Shepherd J
Cancer Imaging; 2019 Jun; 19(1):41. PubMed ID: 31228956
[TBL] [Abstract][Full Text] [Related]
36. A deep learning method for classifying mammographic breast density categories.
Mohamed AA; Berg WA; Peng H; Luo Y; Jankowitz RC; Wu S
Med Phys; 2018 Jan; 45(1):314-321. PubMed ID: 29159811
[TBL] [Abstract][Full Text] [Related]
37. 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; 17(1):e0263126. PubMed ID: 35085352
[TBL] [Abstract][Full Text] [Related]
38. Convolutional neural network for automated mass segmentation in mammography.
Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
[TBL] [Abstract][Full Text] [Related]
39. Computer-aided detection of architectural distortion in prior mammograms of interval cancer.
Rangayyan RM; Banik S; Desautels JE
J Digit Imaging; 2010 Oct; 23(5):611-31. PubMed ID: 20127270
[TBL] [Abstract][Full Text] [Related]
40. Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM.
Sharma S; Khanna P
J Digit Imaging; 2015 Feb; 28(1):77-90. PubMed ID: 25005867
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]