228 related articles for article (PubMed ID: 31901878)
41. Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method.
Chatterjee S; Biswas S; Majee A; Sen S; Oliva D; Sarkar R
Comput Biol Med; 2022 Feb; 141():105027. PubMed ID: 34799076
[TBL] [Abstract][Full Text] [Related]
42. A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms.
Boumaraf S; Liu X; Ferkous C; Ma X
Biomed Res Int; 2020; 2020():7695207. PubMed ID: 32462017
[TBL] [Abstract][Full Text] [Related]
43. A Computational Method to Assist the Diagnosis of Breast Disease Using Dynamic Thermography.
Silva TAED; Silva LFD; Muchaluat-Saade DC; Conci A
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32664410
[TBL] [Abstract][Full Text] [Related]
44. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.
Pak F; Kanan HR; Alikhassi A
Comput Methods Programs Biomed; 2015 Nov; 122(2):89-107. PubMed ID: 26206406
[TBL] [Abstract][Full Text] [Related]
45. Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection.
Wang Y; Zhang L; Shu X; Feng Y; Yi Z; Lv Q
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2241-2251. PubMed ID: 33600319
[TBL] [Abstract][Full Text] [Related]
46. A survey of breast cancer screening techniques: thermography and electrical impedance tomography.
Zuluaga-Gomez J; Zerhouni N; Al Masry Z; Devalland C; Varnier C
J Med Eng Technol; 2019 Jul; 43(5):305-322. PubMed ID: 31545114
[TBL] [Abstract][Full Text] [Related]
47. Hybrid analysis for indicating patients with breast cancer using temperature time series.
Silva LF; Santos AA; Bravo RS; Silva AC; Muchaluat-Saade DC; Conci A
Comput Methods Programs Biomed; 2016 Jul; 130():142-53. PubMed ID: 27208529
[TBL] [Abstract][Full Text] [Related]
48. Boosting Breast Cancer Detection Using Convolutional Neural Network.
Alanazi SA; Kamruzzaman MM; Islam Sarker MN; Alruwaili M; Alhwaiti Y; Alshammari N; Siddiqi MH
J Healthc Eng; 2021; 2021():5528622. PubMed ID: 33884157
[TBL] [Abstract][Full Text] [Related]
49. Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model.
Mambou SJ; Maresova P; Krejcar O; Selamat A; Kuca K
Sensors (Basel); 2018 Aug; 18(9):. PubMed ID: 30149621
[TBL] [Abstract][Full Text] [Related]
50. Classification of breast density categories based on SE-Attention neural networks.
Deng J; Ma Y; Li DA; Zhao J; Liu Y; Zhang H
Comput Methods Programs Biomed; 2020 Sep; 193():105489. PubMed ID: 32434061
[TBL] [Abstract][Full Text] [Related]
51. Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.
Becker AS; Marcon M; Ghafoor S; Wurnig MC; Frauenfelder T; Boss A
Invest Radiol; 2017 Jul; 52(7):434-440. PubMed ID: 28212138
[TBL] [Abstract][Full Text] [Related]
52. ATMTN: a telemammography network architecture.
Sheybani EO; Sankar R
IEEE Trans Biomed Eng; 2002 Dec; 49(12):1438-43. PubMed ID: 12542239
[TBL] [Abstract][Full Text] [Related]
53. SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis.
Gao F; Wu T; Li J; Zheng B; Ruan L; Shang D; Patel B
Comput Med Imaging Graph; 2018 Dec; 70():53-62. PubMed ID: 30292910
[TBL] [Abstract][Full Text] [Related]
54. RAMS: Remote and automatic mammogram screening.
Cogan T; Cogan M; Tamil L
Comput Biol Med; 2019 Apr; 107():18-29. PubMed ID: 30771549
[TBL] [Abstract][Full Text] [Related]
55. Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging.
Valvano G; Santini G; Martini N; Ripoli A; Iacconi C; Chiappino D; Della Latta D
J Healthc Eng; 2019; 2019():9360941. PubMed ID: 31093321
[TBL] [Abstract][Full Text] [Related]
56. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.
Moon WK; Lee YW; Ke HH; Lee SH; Huang CS; Chang RF
Comput Methods Programs Biomed; 2020 Jul; 190():105361. PubMed ID: 32007839
[TBL] [Abstract][Full Text] [Related]
57. Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies.
Radak M; Lafta HY; Fallahi H
J Cancer Res Clin Oncol; 2023 Sep; 149(12):10473-10491. PubMed ID: 37278831
[TBL] [Abstract][Full Text] [Related]
58. Evaluation of the diagnostic power of thermography in breast cancer using Bayesian network classifiers.
Nicandro CR; Efrén MM; María Yaneli AA; Enrique MD; Héctor Gabriel AM; Nancy PC; Alejandro GH; Guillermo de Jesús HR; Rocío Erandi BM
Comput Math Methods Med; 2013; 2013():264246. PubMed ID: 23762182
[TBL] [Abstract][Full Text] [Related]
59. 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]
60. 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
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]