32 related articles for article (PubMed ID: 32750942)
1. Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings.
Hossain MB; Nishikawa RM; Lee J
Med Phys; 2022 Dec; 49(12):7596-7608. PubMed ID: 35916103
[TBL] [Abstract][Full Text] [Related]
2. SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis.
Sun H; Wu S; Chen X; Li M; Kong L; Yang X; Meng Y; Chen S; Zheng J
IEEE Trans Cybern; 2024 Apr; 54(4):2345-2357. PubMed ID: 36264744
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided detection of clustered microcalcifications in multiscale bilateral filtering regularized reconstructed digital breast tomosynthesis volume.
Samala RK; Chan HP; Lu Y; Hadjiiski L; Wei J; Sahiner B; Helvie MA
Med Phys; 2014 Feb; 41(2):021901. PubMed ID: 24506622
[TBL] [Abstract][Full Text] [Related]
4. Interactions of lesion detectability and size across single-slice DBT and 3D DBT.
Lago MA; Abbey CK; Barufaldi B; Bakic PR; Weinstein SP; Maidment AD; Eckstein MP
Proc SPIE Int Soc Opt Eng; 2018 Feb; 10577():. PubMed ID: 32435080
[TBL] [Abstract][Full Text] [Related]
5. Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models.
Oyelade ON; Ezugwu AE
Sci Rep; 2022 Oct; 12(1):17916. PubMed ID: 36289321
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of Convolutional Neural Networks for Search in 1/f
Jonnalagadda A; Lago MA; Barufaldi B; Bakic PR; Abbey CK; Maidment AD; Eckstein MP
Proc SPIE Int Soc Opt Eng; 2020 Feb; 11316():. PubMed ID: 32435081
[TBL] [Abstract][Full Text] [Related]
7. Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs.
Mota AM; Clarkson MJ; Almeida P; Matela N
J Imaging; 2022 Aug; 8(9):. PubMed ID: 36135397
[TBL] [Abstract][Full Text] [Related]
8. 3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection.
Zheng J; Sun H; Wu S; Jiang K; Peng Y; Yang X; Zhang F; Li M
IEEE J Biomed Health Inform; 2021 Mar; 25(3):764-773. PubMed ID: 32750942
[TBL] [Abstract][Full Text] [Related]
9. Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network.
Xiao B; Sun H; Meng Y; Peng Y; Yang X; Chen S; Yan Z; Zheng J
Biomed Eng Online; 2021 Jul; 20(1):71. PubMed ID: 34320986
[TBL] [Abstract][Full Text] [Related]
10. Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis.
Zhang F; Wu S; Zhang C; Chen Q; Yang X; Jiang K; Zheng J
Med Phys; 2019 Mar; 46(3):1300-1308. PubMed ID: 30661242
[TBL] [Abstract][Full Text] [Related]
11. CAPNet: Context attention pyramid network for computer-aided detection of microcalcification clusters in digital breast tomosynthesis.
Wang J; Sun H; Jiang K; Cao W; Chen S; Zhu J; Yang X; Zheng J
Comput Methods Programs Biomed; 2023 Dec; 242():107831. PubMed ID: 37783114
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.
Sahiner B; Chan HP; Hadjiiski LM; Helvie MA; Wei J; Zhou C; Lu Y
Med Phys; 2012 Jan; 39(1):28-39. PubMed ID: 22225272
[TBL] [Abstract][Full Text] [Related]
13.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
14.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
15.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]