388 related articles for article (PubMed ID: 37606374)
21. Hybrid transformer UNet for thyroid segmentation from ultrasound scans.
Chi J; Li Z; Sun Z; Yu X; Wang H
Comput Biol Med; 2023 Feb; 153():106453. PubMed ID: 36603434
[TBL] [Abstract][Full Text] [Related]
22. Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture.
Zheng T; Qin H; Cui Y; Wang R; Zhao W; Zhang S; Geng S; Zhao L
BMC Med Imaging; 2023 Apr; 23(1):56. PubMed ID: 37060061
[TBL] [Abstract][Full Text] [Related]
23. A multitask approach for automated detection and segmentation of thyroid nodules in ultrasound images.
Radhachandran A; Kinzel A; Chen J; Sant V; Patel M; Masamed R; Arnold CW; Speier W
Comput Biol Med; 2024 Mar; 170():107974. PubMed ID: 38244471
[TBL] [Abstract][Full Text] [Related]
24. MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation.
Chen G; Tan G; Duan M; Pu B; Luo H; Li S; Li K
Comput Biol Med; 2024 Feb; 169():107898. PubMed ID: 38176210
[TBL] [Abstract][Full Text] [Related]
25. Improved UNet with Attention for Medical Image Segmentation.
Al Qurri A; Almekkawy M
Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896682
[TBL] [Abstract][Full Text] [Related]
26. An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images.
Zhang N; Liu J; Jin Y; Duan W; Wu Z; Cai Z; Wu M
BMC Bioinformatics; 2023 Aug; 24(1):315. PubMed ID: 37598159
[TBL] [Abstract][Full Text] [Related]
27. Localization and Risk Stratification of Thyroid Nodules in Ultrasound Images Through Deep Learning.
Wang Z; Wang X; Wang T; Qiu J; Lu W
Ultrasound Med Biol; 2024 Jun; 50(6):882-887. PubMed ID: 38494413
[TBL] [Abstract][Full Text] [Related]
28. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Medical lesion segmentation by combining multimodal images with modality weighted UNet.
Zhu X; Wu Y; Hu H; Zhuang X; Yao J; Ou D; Li W; Song M; Feng N; Xu D
Med Phys; 2022 Jun; 49(6):3692-3704. PubMed ID: 35312077
[TBL] [Abstract][Full Text] [Related]
31. Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist-based assessments.
Chang Y; Paul AK; Kim N; Baek JH; Choi YJ; Ha EJ; Lee KD; Lee HS; Shin D; Kim N
Med Phys; 2016 Jan; 43(1):554. PubMed ID: 26745948
[TBL] [Abstract][Full Text] [Related]
32. Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis.
Liu W; Lin C; Chen D; Niu L; Zhang R; Pi Z
Comput Methods Programs Biomed; 2024 Feb; 244():107999. PubMed ID: 38194766
[TBL] [Abstract][Full Text] [Related]
33. Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images.
Buda M; Wildman-Tobriner B; Castor K; Hoang JK; Mazurowski MA
Ultrasound Med Biol; 2020 Feb; 46(2):415-421. PubMed ID: 31699547
[TBL] [Abstract][Full Text] [Related]
34. Efficient multiscale fully convolutional UNet model for segmentation of 3D lung nodule from CT image.
Agnes SA; Anitha J
J Med Imaging (Bellingham); 2022 Sep; 9(5):052402. PubMed ID: 35573467
[No Abstract] [Full Text] [Related]
35. Real-time reliable semantic segmentation of thyroid nodules in ultrasound images.
Xing G; Wang S; Gao J; Li X
Phys Med Biol; 2024 Jan; 69(2):. PubMed ID: 38048630
[No Abstract] [Full Text] [Related]
36. Automatic fetal biometry prediction using a novel deep convolutional network architecture.
Ghelich Oghli M; Shabanzadeh A; Moradi S; Sirjani N; Gerami R; Ghaderi P; Sanei Taheri M; Shiri I; Arabi H; Zaidi H
Phys Med; 2021 Aug; 88():127-137. PubMed ID: 34242884
[TBL] [Abstract][Full Text] [Related]
37. Ultrasound image segmentation of renal tumors based on UNet++ with fusion of multiscale residuals and dual attention.
Qi H; Wang Z; Qi X; Shi Y; Xie T
Phys Med Biol; 2024 Mar; 69(7):. PubMed ID: 38412532
[No Abstract] [Full Text] [Related]
38. Intuitionistic based segmentation of thyroid nodules in ultrasound images.
Koundal D; Sharma B; Guo Y
Comput Biol Med; 2020 Jun; 121():103776. PubMed ID: 32568671
[TBL] [Abstract][Full Text] [Related]
39. A semantic segmentation of the lung nodules using a shape attention-guided contextual residual network.
Zhang X; Fei L; Gong Q
Phys Med Biol; 2023 Aug; 68(16):. PubMed ID: 37343581
[No Abstract] [Full Text] [Related]
40. Automatic segmentation of prostate MRI based on 3D pyramid pooling Unet.
Li Y; Lin C; Zhang Y; Feng S; Huang M; Bai Z
Med Phys; 2023 Feb; 50(2):906-921. PubMed ID: 35923153
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]