320 related articles for article (PubMed ID: 37936137)
1. A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis.
Zhou Z; Wang M; Zhao R; Shao Y; Xing L; Qiu Q; Yin Y
J Transl Med; 2023 Nov; 21(1):788. PubMed ID: 37936137
[TBL] [Abstract][Full Text] [Related]
2. A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping.
Cheng J; Liu J; Kuang H; Wang J
IEEE Trans Med Imaging; 2022 Jun; 41(6):1520-1532. PubMed ID: 35020590
[TBL] [Abstract][Full Text] [Related]
3. ETUNet:Exploring efficient transformer enhanced UNet for 3D brain tumor segmentation.
Zhang W; Chen S; Ma Y; Liu Y; Cao X
Comput Biol Med; 2024 Mar; 171():108005. PubMed ID: 38340437
[TBL] [Abstract][Full Text] [Related]
4. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images.
Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D
J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289
[TBL] [Abstract][Full Text] [Related]
5. 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
Zhang Y; Li H; Du J; Qin J; Wang T; Chen Y; Liu B; Gao W; Ma G; Lei B
IEEE Trans Med Imaging; 2021 Jun; 40(6):1618-1631. PubMed ID: 33646948
[TBL] [Abstract][Full Text] [Related]
6. Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention.
Ghazouani F; Vera P; Ruan S
Int J Comput Assist Radiol Surg; 2024 Feb; 19(2):273-281. PubMed ID: 37796413
[TBL] [Abstract][Full Text] [Related]
7. MESTrans: Multi-scale embedding spatial transformer for medical image segmentation.
Liu Y; Zhu Y; Xin Y; Zhang Y; Yang D; Xu T
Comput Methods Programs Biomed; 2023 May; 233():107493. PubMed ID: 36965298
[TBL] [Abstract][Full Text] [Related]
8. ETU-Net: edge enhancement-guided U-Net with transformer for skin lesion segmentation.
Chen L; Li J; Zou Y; Wang T
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38131313
[No Abstract] [Full Text] [Related]
9. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
[TBL] [Abstract][Full Text] [Related]
10. Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior.
Zhang H; Yang X; Li D; Cui Y; Zhao J; Qiu S
J Biomed Inform; 2023 Mar; 139():104304. PubMed ID: 36736447
[TBL] [Abstract][Full Text] [Related]
11. A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features.
Diao Z; Jiang H
Comput Biol Med; 2024 May; 174():108461. PubMed ID: 38626509
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Male pelvic multi-organ segmentation using token-based transformer Vnet.
Pan S; Lei Y; Wang T; Wynne J; Chang CW; Roper J; Jani AB; Patel P; Bradley JD; Liu T; Yang X
Phys Med Biol; 2022 Oct; 67(20):. PubMed ID: 36170872
[No Abstract] [Full Text] [Related]
14. BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI.
Jiang X; Ding Y; Liu M; Wang Y; Li Y; Wu Z
Comput Biol Med; 2023 Oct; 165():107326. PubMed ID: 37619324
[TBL] [Abstract][Full Text] [Related]
15. Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images.
Tang S; Yu X; Cheang CF; Liang Y; Zhao P; Yu HH; Choi IC
Comput Biol Med; 2023 May; 157():106723. PubMed ID: 36907035
[TBL] [Abstract][Full Text] [Related]
16. MSCT-UNET: multi-scale contrastive transformer within U-shaped network for medical image segmentation.
Xi H; Dong H; Sheng Y; Cui H; Huang C; Li J; Zhu J
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38061069
[No Abstract] [Full Text] [Related]
17. CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation.
Lin J; Lin J; Lu C; Chen H; Lin H; Zhao B; Shi Z; Qiu B; Pan X; Xu Z; Huang B; Liang C; Han G; Liu Z; Han C
IEEE Trans Med Imaging; 2023 Aug; 42(8):2451-2461. PubMed ID: 37027751
[TBL] [Abstract][Full Text] [Related]
18. BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification.
Liu X; Yao C; Chen H; Xiang R; Wu H; Du P; Yu Z; Liu W; Liu J; Geng D
Comput Med Imaging Graph; 2023 Dec; 110():102307. PubMed ID: 37913635
[TBL] [Abstract][Full Text] [Related]
19. AIR-Net: A novel multi-task learning method with auxiliary image reconstruction for predicting EGFR mutation status on CT images of NSCLC patients.
Gui D; Song Q; Song B; Li H; Wang M; Min X; Li A
Comput Biol Med; 2022 Feb; 141():105157. PubMed ID: 34953355
[TBL] [Abstract][Full Text] [Related]
20. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
Haq EU; Jianjun H; Huarong X; Li K; Weng L
Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
