277 related articles for article (PubMed ID: 35890972)
1. A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas.
Ali MB; Bai X; Gu IY; Berger MS; Jakola AS
Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35890972
[TBL] [Abstract][Full Text] [Related]
2. Prediction of glioma-subtypes: comparison of performance on a DL classifier using bounding box areas versus annotated tumors.
Ali MB; Gu IY; Lidemar A; Berger MS; Widhalm G; Jakola AS
BMC Biomed Eng; 2022 May; 4(1):4. PubMed ID: 35590389
[TBL] [Abstract][Full Text] [Related]
3. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
4. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
Jiang J; Hu YC; Tyagi N; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
Med Phys; 2019 Oct; 46(10):4392-4404. PubMed ID: 31274206
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.
Dieckhaus H; Meijboom R; Okar S; Wu T; Parvathaneni P; Mina Y; Chandran S; Waldman AD; Reich DS; Nair G
Top Magn Reson Imaging; 2022 Jun; 31(3):31-39. PubMed ID: 35767314
[TBL] [Abstract][Full Text] [Related]
7. A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities.
Choi Y; Al-Masni MA; Jung KJ; Yoo RE; Lee SY; Kim DH
Comput Methods Programs Biomed; 2023 Oct; 240():107644. PubMed ID: 37307766
[TBL] [Abstract][Full Text] [Related]
8. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
[TBL] [Abstract][Full Text] [Related]
9. A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images.
Aswani K; Menaka D
BMC Med Imaging; 2021 May; 21(1):82. PubMed ID: 33985449
[TBL] [Abstract][Full Text] [Related]
10. MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.
Li X; Jiang Y; Li M; Zhang J; Yin S; Luo H
Med Phys; 2023 Apr; 50(4):2249-2262. PubMed ID: 35962724
[TBL] [Abstract][Full Text] [Related]
11. 3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.
Park GE; Kim SH; Nam Y; Kang J; Park M; Kang BJ
J Magn Reson Imaging; 2024 Jun; 59(6):2252-2262. PubMed ID: 37596823
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
Ribalta Lorenzo P; Nalepa J; Bobek-Billewicz B; Wawrzyniak P; Mrukwa G; Kawulok M; Ulrych P; Hayball MP
Comput Methods Programs Biomed; 2019 Jul; 176():135-148. PubMed ID: 31200901
[TBL] [Abstract][Full Text] [Related]
14. Automatic segmentation of glioblastoma multiform brain tumor in MRI images: Using Deeplabv3+ with pre-trained Resnet18 weights.
Khodadadi Shoushtari F; Sina S; Dehkordi ANV
Phys Med; 2022 Aug; 100():51-63. PubMed ID: 35732092
[TBL] [Abstract][Full Text] [Related]
15. Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas.
Zhuang M; Chen Z; Yang Y; Kettunen L; Wang H
Int J Comput Assist Radiol Surg; 2024 Jan; 19(1):87-96. PubMed ID: 37233894
[TBL] [Abstract][Full Text] [Related]
16. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
[TBL] [Abstract][Full Text] [Related]
17. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
[TBL] [Abstract][Full Text] [Related]
18. An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images.
Boehringer AS; Sanaat A; Arabi H; Zaidi H
Insights Imaging; 2023 Aug; 14(1):141. PubMed ID: 37620554
[TBL] [Abstract][Full Text] [Related]
19. Towards annotation-efficient segmentation via image-to-image translation.
Vorontsov E; Molchanov P; Gazda M; Beckham C; Kautz J; Kadoury S
Med Image Anal; 2022 Nov; 82():102624. PubMed ID: 36208571
[TBL] [Abstract][Full Text] [Related]
20. Reducing annotation burden in MR: A novel MR-contrast guided contrastive learning approach for image segmentation.
Umapathy L; Brown T; Mushtaq R; Greenhill M; Lu J; Martin D; Altbach M; Bilgin A
Med Phys; 2024 Apr; 51(4):2707-2720. PubMed ID: 37956263
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
