191 related articles for article (PubMed ID: 36591602)
1. Fractal, recurrent, and dense U-Net architectures with EfficientNet encoder for medical image segmentation.
Siddique N; Paheding S; Reyes Angulo AA; Alom MZ; Devabhaktuni VK
J Med Imaging (Bellingham); 2022 Nov; 9(6):064004. PubMed ID: 36591602
[TBL] [Abstract][Full Text] [Related]
2. R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation.
Mubashar M; Ali H; Grönlund C; Azmat S
Neural Comput Appl; 2022; 34(20):17723-17739. PubMed ID: 35694048
[TBL] [Abstract][Full Text] [Related]
3. MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images.
Balraj K; Ramteke M; Mittal S; Bhargava R; Rathore AS
Sci Rep; 2024 Jun; 14(1):12699. PubMed ID: 38830932
[TBL] [Abstract][Full Text] [Related]
4. Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures.
Abedalla A; Abdullah M; Al-Ayyoub M; Benkhelifa E
PeerJ Comput Sci; 2021; 7():e607. PubMed ID: 34307860
[TBL] [Abstract][Full Text] [Related]
5. Recurrent residual U-Net for medical image segmentation.
Alom MZ; Yakopcic C; Hasan M; Taha TM; Asari VK
J Med Imaging (Bellingham); 2019 Jan; 6(1):014006. PubMed ID: 30944843
[TBL] [Abstract][Full Text] [Related]
6. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
7. Curv-Net: Curvilinear structure segmentation network based on selective kernel and multi-Bi-ConvLSTM.
He Y; Sun H; Yi Y; Chen W; Kong J; Zheng C
Med Phys; 2022 May; 49(5):3144-3158. PubMed ID: 35172016
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation.
Ryu J; Rehman MU; Nizami IF; Chong KT
Comput Biol Med; 2023 Sep; 163():107132. PubMed ID: 37343468
[TBL] [Abstract][Full Text] [Related]
10. Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation.
Sugino T; Roth HR; Oda M; Kin T; Saito N; Nakajima Y; Mori K
Med Phys; 2021 Nov; 48(11):7215-7227. PubMed ID: 34453333
[TBL] [Abstract][Full Text] [Related]
11. MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation.
Zhang J; Zhang Y; Jin Y; Xu J; Xu X
Health Inf Sci Syst; 2023 Dec; 11(1):13. PubMed ID: 36925619
[TBL] [Abstract][Full Text] [Related]
12. BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation.
Li D; Rahardja S
Comput Methods Programs Biomed; 2021 Jun; 205():106070. PubMed ID: 33857703
[TBL] [Abstract][Full Text] [Related]
13. Feature-guided attention network for medical image segmentation.
Zhou H; Sun C; Huang H; Fan M; Yang X; Zhou L
Med Phys; 2023 Aug; 50(8):4871-4886. PubMed ID: 36746870
[TBL] [Abstract][Full Text] [Related]
14. ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images.
Lama N; Kasmi R; Hagerty JR; Stanley RJ; Young R; Miinch J; Nepal J; Nambisan A; Stoecker WV
J Digit Imaging; 2023 Apr; 36(2):526-535. PubMed ID: 36385676
[TBL] [Abstract][Full Text] [Related]
15. "Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging.
Fu W; Breininger K; Schaffert R; Pan Z; Maier A
Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):967-978. PubMed ID: 33929676
[TBL] [Abstract][Full Text] [Related]
16. DilUnet: A U-net based architecture for blood vessels segmentation.
Hussain S; Guo F; Li W; Shen Z
Comput Methods Programs Biomed; 2022 May; 218():106732. PubMed ID: 35279601
[TBL] [Abstract][Full Text] [Related]
17. TDCAU-Net: retinal vessel segmentation using transformer dilated convolutional attention-based U-Net method.
Li C; Li Z; Liu W
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38052089
[TBL] [Abstract][Full Text] [Related]
18. Densely connected U-Net retinal vessel segmentation algorithm based on multi-scale feature convolution extraction.
Du X; Wang J; Sun W
Med Phys; 2021 Jul; 48(7):3827-3841. PubMed ID: 34028030
[TBL] [Abstract][Full Text] [Related]
19. Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.
Penso M; Moccia S; Scafuri S; Muscogiuri G; Pontone G; Pepi M; Caiani EG
Comput Methods Programs Biomed; 2021 Jun; 204():106059. PubMed ID: 33812305
[TBL] [Abstract][Full Text] [Related]
20. DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation.
Xu Q; Ma Z; He N; Duan W
Comput Biol Med; 2023 Mar; 154():106626. PubMed ID: 36736096
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
