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.
561 related articles for article (PubMed ID: 35866492)
21. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution. Cai Y; Long Y; Han Z; Liu M; Zheng Y; Yang W; Chen L BMC Med Inform Decis Mak; 2023 Feb; 23(1):33. PubMed ID: 36788560 [TBL] [Abstract][Full Text] [Related]
22. 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]
23. Fully automatic tumor segmentation of breast ultrasound images with deep learning. Zhang S; Liao M; Wang J; Zhu Y; Zhang Y; Zhang J; Zheng R; Lv L; Zhu D; Chen H; Wang W J Appl Clin Med Phys; 2023 Jan; 24(1):e13863. PubMed ID: 36495018 [TBL] [Abstract][Full Text] [Related]
24. Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images. Huang Y; Han L; Dou H; Luo H; Yuan Z; Liu Q; Zhang J; Yin G Biomed Eng Online; 2019 Jan; 18(1):8. PubMed ID: 30678680 [TBL] [Abstract][Full Text] [Related]
25. A fusion of VGG-16 and ViT models for improving bone tumor classification in computed tomography. Chen W; Ayoub M; Liao M; Shi R; Zhang M; Su F; Huang Z; Li Y; Wang Y; Wong KKL J Bone Oncol; 2023 Dec; 43():100508. PubMed ID: 38021075 [TBL] [Abstract][Full Text] [Related]
26. A CNN-transformer fusion network for COVID-19 CXR image classification. Cao K; Deng T; Zhang C; Lu L; Li L PLoS One; 2022; 17(10):e0276758. PubMed ID: 36301907 [TBL] [Abstract][Full Text] [Related]
27. Optimizing the transfer-learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images. Saba T; Abunadi I; Sadad T; Khan AR; Bahaj SA Microsc Res Tech; 2022 Apr; 85(4):1444-1453. PubMed ID: 34908213 [TBL] [Abstract][Full Text] [Related]
28. Improved breast ultrasound tumor classification using dual-input CNN with GAP-guided attention loss. Zou X; Zhai J; Qian S; Li A; Tian F; Cao X; Wang R Math Biosci Eng; 2023 Jul; 20(8):15244-15264. PubMed ID: 37679179 [TBL] [Abstract][Full Text] [Related]
29. 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]
30. 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]
31. 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]
32. Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module. Jiang Y; Chen L; Zhang H; Xiao X PLoS One; 2019; 14(3):e0214587. PubMed ID: 30925170 [TBL] [Abstract][Full Text] [Related]
33. Facial Expression Recognition Based on Squeeze Vision Transformer. Kim S; Nam J; Ko BC Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632135 [TBL] [Abstract][Full Text] [Related]
34. HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. Mo Y; Han C; Liu Y; Liu M; Shi Z; Lin J; Zhao B; Huang C; Qiu B; Cui Y; Wu L; Pan X; Xu Z; Huang X; Li Z; Liu Z; Wang Y; Liang C IEEE Trans Med Imaging; 2023 Jun; 42(6):1696-1706. PubMed ID: 37018705 [TBL] [Abstract][Full Text] [Related]
35. Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model. Liao WX; He P; Hao J; Wang XY; Yang RL; An D; Cui LG IEEE J Biomed Health Inform; 2020 Apr; 24(4):984-993. PubMed ID: 31869809 [TBL] [Abstract][Full Text] [Related]
36. Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System. Himel GMS; Islam MM; Al-Aff KA; Karim SI; Sikder MKU Int J Biomed Imaging; 2024; 2024():3022192. PubMed ID: 38344227 [TBL] [Abstract][Full Text] [Related]
37. Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer. Tang H; Liu S; Tan W; Fu L; Yan M; Feng H BMC Med Inform Decis Mak; 2024 Aug; 24(1):232. PubMed ID: 39174951 [TBL] [Abstract][Full Text] [Related]
38. SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification. Zhang G; Zhao K; Hong Y; Qiu X; Zhang K; Wei B Int J Comput Assist Radiol Surg; 2021 Oct; 16(10):1719-1725. PubMed ID: 34254225 [TBL] [Abstract][Full Text] [Related]
39. HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation. He Q; Yang Q; Xie M Comput Biol Med; 2023 Mar; 155():106629. PubMed ID: 36787669 [TBL] [Abstract][Full Text] [Related]
40. 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] [Previous] [Next] [New Search]