These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
127 related articles for article (PubMed ID: 38264739)
1. Deep learning-based immunohistochemical estimation of breast cancer via ultrasound image applications. Yan D; Zhao Z; Duan J; Qu J; Shi L; Wang Q; Zhang H Front Oncol; 2023; 13():1263685. PubMed ID: 38264739 [TBL] [Abstract][Full Text] [Related]
2. A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images. Qu X; Lu H; Tang W; Wang S; Zheng D; Hou Y; Jiang J Med Phys; 2022 Sep; 49(9):5787-5798. PubMed ID: 35866492 [TBL] [Abstract][Full Text] [Related]
3. Diagnosis of cervical lymph node metastasis with thyroid carcinoma by deep learning application to CT images. Wang T; Yan D; Liu Z; Xiao L; Liang C; Xin H; Feng M; Zhao Z; Wang Y Front Oncol; 2023; 13():1099104. PubMed ID: 36776294 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Multi-task learning for segmentation and classification of breast tumors from ultrasound images. He Q; Yang Q; Su H; Wang Y Comput Biol Med; 2024 May; 173():108319. PubMed ID: 38513394 [TBL] [Abstract][Full Text] [Related]
6. Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network. Han L; Huang Y; Dou H; Wang S; Ahamad S; Luo H; Liu Q; Fan J; Zhang J Comput Methods Programs Biomed; 2020 Jun; 189():105275. PubMed ID: 31978805 [TBL] [Abstract][Full Text] [Related]
7. A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images. Dabass M; Vashisth S; Vig R Comput Biol Med; 2022 Aug; 147():105680. PubMed ID: 35671654 [TBL] [Abstract][Full Text] [Related]
8. Convolutional neural network with parallel convolution scale attention module and ResCBAM for breast histology image classification. Yan T; Chen G; Zhang H; Wang G; Yan Z; Li Y; Xu S; Zhou Q; Shi R; Tian Z; Wang B Heliyon; 2024 May; 10(10):e30889. PubMed ID: 38770292 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images. Ma H; Tian R; Li H; Sun H; Lu G; Liu R; Wang Z Biomed Eng Online; 2021 Nov; 20(1):112. PubMed ID: 34794443 [TBL] [Abstract][Full Text] [Related]
12. BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems. Gómez-Flores W; Gregorio-Calas MJ; Coelho de Albuquerque Pereira W Med Phys; 2024 Apr; 51(4):3110-3123. PubMed ID: 37937827 [TBL] [Abstract][Full Text] [Related]
13. Breast Tumor Classification in Ultrasound Images by Fusion of Deep Convolutional Neural Network and Shallow LBP Feature. Chen H; Ma M; Liu G; Wang Y; Jin Z; Liu C J Digit Imaging; 2023 Jun; 36(3):932-946. PubMed ID: 36720840 [TBL] [Abstract][Full Text] [Related]
14. LPCANet: Classification of Laryngeal Cancer Histopathological Images Using a CNN with Position Attention and Channel Attention Mechanisms. Zhou X; Tang C; Huang P; Mercaldo F; Santone A; Shao Y Interdiscip Sci; 2021 Dec; 13(4):666-682. PubMed ID: 34138403 [TBL] [Abstract][Full Text] [Related]
15. BCHisto-Net: Breast histopathological image classification by global and local feature aggregation. R R; Prasad K; Udupa CBK Artif Intell Med; 2021 Nov; 121():102191. PubMed ID: 34763806 [TBL] [Abstract][Full Text] [Related]
16. A medical image classification method based on self-regularized adversarial learning. Fan Z; Zhang X; Ruan S; Thorstad W; Gay H; Song P; Wang X; Li H Med Phys; 2024 Nov; 51(11):8232-8246. PubMed ID: 39078069 [TBL] [Abstract][Full Text] [Related]
17. A multiple-channel and atrous convolution network for ultrasound image segmentation. Zhang L; Zhang J; Li Z; Song Y Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105 [TBL] [Abstract][Full Text] [Related]
18. An attention-based deep learning for acute lymphoblastic leukemia classification. Jawahar M; Anbarasi LJ; Narayanan S; Gandomi AH Sci Rep; 2024 Jul; 14(1):17447. PubMed ID: 39075091 [TBL] [Abstract][Full Text] [Related]
19. FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images. Cui W; Peng Y; Yuan G; Cao W; Cao Y; Lu Z; Ni X; Yan Z; Zheng J Med Phys; 2022 Jan; 49(1):144-157. PubMed ID: 34766623 [TBL] [Abstract][Full Text] [Related]
20. A deep supervised transformer U-shaped full-resolution residual network for the segmentation of breast ultrasound image. Zhou J; Hou Z; Lu H; Wang W; Zhao W; Wang Z; Zheng D; Wang S; Tang W; Qu X Med Phys; 2023 Dec; 50(12):7513-7524. PubMed ID: 37816131 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]