174 related articles for article (PubMed ID: 37633086)
1. MDFF-Net: A multi-dimensional feature fusion network for breast histopathology image classification.
Xu C; Yi K; Jiang N; Li X; Zhong M; Zhang Y
Comput Biol Med; 2023 Oct; 165():107385. PubMed ID: 37633086
[TBL] [Abstract][Full Text] [Related]
2. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
Zhang E; Seiler S; Chen M; Lu W; Gu X
Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Feature Generalization for Breast Cancer Detection in Histopathological Images.
Das R; Kaur K; Walia E
Interdiscip Sci; 2022 Jun; 14(2):566-581. PubMed ID: 35482216
[TBL] [Abstract][Full Text] [Related]
5. Computer assisted recognition of breast cancer in biopsy images via fusion of nucleus-guided deep convolutional features.
George K; Sankaran P; K PJ
Comput Methods Programs Biomed; 2020 Oct; 194():105531. PubMed ID: 32422473
[TBL] [Abstract][Full Text] [Related]
6. Research on breast cancer pathological image classification method based on wavelet transform and YOLOv8.
Yang Y; Wang J
J Xray Sci Technol; 2024; 32(3):677-687. PubMed ID: 38189740
[TBL] [Abstract][Full Text] [Related]
7. Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.
George K; Faziludeen S; Sankaran P; Joseph K P
Comput Biol Med; 2020 Sep; 124():103954. PubMed ID: 32777599
[TBL] [Abstract][Full Text] [Related]
8. DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Huang H; Xie Y; Wang G; Zhang L; Zhou W
Comput Methods Programs Biomed; 2022 Dec; 227():107201. PubMed ID: 36335751
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A multi-task fusion model based on a residual-Multi-layer perceptron network for mammographic breast cancer screening.
Zhong Y; Piao Y; Tan B; Liu J
Comput Methods Programs Biomed; 2024 Apr; 247():108101. PubMed ID: 38432087
[TBL] [Abstract][Full Text] [Related]
11. CTG-Net: Cross-task guided network for breast ultrasound diagnosis.
Yang K; Suzuki A; Ye J; Nosato H; Izumori A; Sakanashi H
PLoS One; 2022; 17(8):e0271106. PubMed ID: 35951606
[TBL] [Abstract][Full Text] [Related]
12. MsGoF: Breast lesion classification on ultrasound images by multi-scale gradational-order fusion framework.
Zhong S; Tu C; Dong X; Feng Q; Chen W; Zhang Y
Comput Methods Programs Biomed; 2023 Mar; 230():107346. PubMed ID: 36716637
[TBL] [Abstract][Full Text] [Related]
13. An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.
Huang YS; Wang TC; Huang SZ; Zhang J; Chen HM; Chang YC; Chang RF
Comput Methods Programs Biomed; 2023 Feb; 229():107278. PubMed ID: 36463674
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Multi-Class Classification of Breast Cancer Using 6B-Net with Deep Feature Fusion and Selection Method.
Umer MJ; Sharif M; Kadry S; Alharbi A
J Pers Med; 2022 Apr; 12(5):. PubMed ID: 35629106
[TBL] [Abstract][Full Text] [Related]
16. Richer fusion network for breast cancer classification based on multimodal data.
Yan R; Zhang F; Rao X; Lv Z; Li J; Zhang L; Liang S; Li Y; Ren F; Zheng C; Liang J
BMC Med Inform Decis Mak; 2021 Apr; 21(Suppl 1):134. PubMed ID: 33888098
[TBL] [Abstract][Full Text] [Related]
17. A similarity measure method fusing deep feature for mammogram retrieval.
Wang Z; Xin J; Huang Y; Xu L; Ren J; Zhang H; Qian W; Zhang X; Liu J
J Xray Sci Technol; 2020; 28(1):17-33. PubMed ID: 31868727
[TBL] [Abstract][Full Text] [Related]
18. Meta-adaptive-weighting-based bilateral multi-dimensional refined space feature attention network for imbalanced breast cancer histopathological image classification.
Hou Y; Zhang W; Cheng R; Zhang G; Guo Y; Hao Y; Xue H; Wang Z; Wang L; Bai Y
Comput Biol Med; 2023 Sep; 164():107300. PubMed ID: 37557055
[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. 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]
[Next] [New Search]
