170 related articles for article (PubMed ID: 38430743)
1. ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions.
Tang D; Li C; Du T; Jiang H; Ma D; Ma Z; Grzegorzek M; Jiang T; Sun H
Comput Biol Med; 2024 Mar; 171():108217. PubMed ID: 38430743
[TBL] [Abstract][Full Text] [Related]
2. PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage.
Ma D; Li C; Du T; Qiao L; Tang D; Ma Z; Shi L; Lu G; Meng Q; Chen Z; Grzegorzek M; Sun H
Comput Biol Med; 2024 May; 173():108342. PubMed ID: 38522249
[TBL] [Abstract][Full Text] [Related]
3. Information fusion for fully automated segmentation of head and neck tumors from PET and CT images.
Shiri I; Amini M; Yousefirizi F; Vafaei Sadr A; Hajianfar G; Salimi Y; Mansouri Z; Jenabi E; Maghsudi M; Mainta I; Becker M; Rahmim A; Zaidi H
Med Phys; 2024 Jan; 51(1):319-333. PubMed ID: 37475591
[TBL] [Abstract][Full Text] [Related]
4. Fully Automated, Semantic Segmentation of Whole-Body
Shiyam Sundar LK; Yu J; Muzik O; Kulterer OC; Fueger B; Kifjak D; Nakuz T; Shin HM; Sima AK; Kitzmantl D; Badawi RD; Nardo L; Cherry SR; Spencer BA; Hacker M; Beyer T
J Nucl Med; 2022 Dec; 63(12):1941-1948. PubMed ID: 35772962
[TBL] [Abstract][Full Text] [Related]
5. Whole-body tumor segmentation from PET/CT images using a two-stage cascaded neural network with camouflaged object detection mechanisms.
He J; Zhang Y; Chung M; Wang M; Wang K; Ma Y; Ding X; Li Q; Pu Y
Med Phys; 2023 Oct; 50(10):6151-6162. PubMed ID: 37134002
[TBL] [Abstract][Full Text] [Related]
6. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images.
Li GY; Chen J; Jang SI; Gong K; Li Q
Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263
[TBL] [Abstract][Full Text] [Related]
7. Cx22: A new publicly available dataset for deep learning-based segmentation of cervical cytology images.
Liu G; Ding Q; Luo H; Sha M; Li X; Ju M
Comput Biol Med; 2022 Nov; 150():106194. PubMed ID: 37859287
[TBL] [Abstract][Full Text] [Related]
8. MFCNet: A multi-modal fusion and calibration networks for 3D pancreas tumor segmentation on PET-CT images.
Wang F; Cheng C; Cao W; Wu Z; Wang H; Wei W; Yan Z; Liu Z
Comput Biol Med; 2023 Mar; 155():106657. PubMed ID: 36791551
[TBL] [Abstract][Full Text] [Related]
9. Multi-institutional PET/CT image segmentation using federated deep transformer learning.
Shiri I; Razeghi B; Vafaei Sadr A; Amini M; Salimi Y; Ferdowsi S; Boor P; Gündüz D; Voloshynovskiy S; Zaidi H
Comput Methods Programs Biomed; 2023 Oct; 240():107706. PubMed ID: 37506602
[TBL] [Abstract][Full Text] [Related]
10. Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space.
Fallahpoor M; Chakraborty S; Pradhan B; Faust O; Barua PD; Chegeni H; Acharya R
Comput Methods Programs Biomed; 2024 Jan; 243():107880. PubMed ID: 37924769
[TBL] [Abstract][Full Text] [Related]
11. MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention.
Wu Y; Jiang H; Pang W
Comput Biol Med; 2023 May; 158():106818. PubMed ID: 36966557
[TBL] [Abstract][Full Text] [Related]
12. EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks.
Shi L; Li X; Hu W; Chen H; Chen J; Fan Z; Gao M; Jing Y; Lu G; Ma D; Ma Z; Meng Q; Tang D; Sun H; Grzegorzek M; Qi S; Teng Y; Li C
Front Med (Lausanne); 2023; 10():1114673. PubMed ID: 36760405
[TBL] [Abstract][Full Text] [Related]
13. Impact of deep learning-based multiorgan segmentation methods on patient-specific internal dosimetry in PET/CT imaging: A comparative study.
Karimipourfard M; Sina S; Mahani H; Alavi M; Yazdi M
J Appl Clin Med Phys; 2024 Feb; 25(2):e14254. PubMed ID: 38214349
[TBL] [Abstract][Full Text] [Related]
14. MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.
Zhou Y; Jiang H; Diao Z; Tong G; Luan Q; Li Y; Li X
Comput Biol Med; 2023 Feb; 153():106538. PubMed ID: 36646023
[TBL] [Abstract][Full Text] [Related]
15. Automated lung tumor delineation on positron emission tomography/computed tomography via a hybrid regional network.
Lei Y; Wang T; Jeong JJ; Janopaul-Naylor J; Kesarwala AH; Roper J; Tian S; Bradley JD; Liu T; Higgins K; Yang X
Med Phys; 2023 Jan; 50(1):274-283. PubMed ID: 36203393
[TBL] [Abstract][Full Text] [Related]
16. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Liu Y; Zhang M; Zhong Z; Zeng X
Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
[TBL] [Abstract][Full Text] [Related]
17. Dual-modality multi-atlas segmentation of torso organs from [
Wang H; Zhang N; Huo L; Zhang B
Int J Comput Assist Radiol Surg; 2019 Mar; 14(3):473-482. PubMed ID: 30390179
[TBL] [Abstract][Full Text] [Related]
18. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
Ottom MA; Rahman HA; Dinov ID
IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
[TBL] [Abstract][Full Text] [Related]
19. VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images.
Zhang S; Yuan Z; Zhou X; Wang H; Chen B; Wang Y
Comput Methods Programs Biomed; 2024 Jun; 250():108178. PubMed ID: 38652995
[TBL] [Abstract][Full Text] [Related]
20. A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers.
Groendahl AR; Skjei Knudtsen I; Huynh BN; Mulstad M; Moe YM; Knuth F; Tomic O; Indahl UG; Torheim T; Dale E; Malinen E; Futsaether CM
Phys Med Biol; 2021 Mar; 66(6):065012. PubMed ID: 33666176
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]