These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
166 related articles for article (PubMed ID: 38030068)
1. Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images. Cekic E; Pinar E; Pinar M; Dagcinar A World Neurosurg; 2024 Feb; 182():e196-e204. PubMed ID: 38030068 [TBL] [Abstract][Full Text] [Related]
2. Improved brain metastases segmentation using generative adversarial network and conditional random field optimization mask R-CNN. Wang Y; Wen Z; Su L; Deng H; Gong J; Xiang H; He Y; Zhang H; Zhou P; Pang H Med Phys; 2024 Sep; 51(9):5990-6001. PubMed ID: 38775791 [TBL] [Abstract][Full Text] [Related]
3. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD. Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Automated glioma grading on conventional MRI images using deep convolutional neural networks. Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478 [TBL] [Abstract][Full Text] [Related]
6. Comparative studies of deep learning segmentation models for left ventricle segmentation. Shoaib MA; Lai KW; Chuah JH; Hum YC; Ali R; Dhanalakshmi S; Wang H; Wu X Front Public Health; 2022; 10():981019. PubMed ID: 36091529 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques. Saeedi S; Rezayi S; Keshavarz H; R Niakan Kalhori S BMC Med Inform Decis Mak; 2023 Jan; 23(1):16. PubMed ID: 36691030 [TBL] [Abstract][Full Text] [Related]
9. Magnetic Resonance Imaging Images Based Brain Tumor Extraction, Segmentation and Detection Using Convolutional Neural Network and VGC 16 Model. Shunmugavel G; Suriyan K; Arumugam J Am J Clin Oncol; 2024 Jul; 47(7):339-349. PubMed ID: 38632686 [TBL] [Abstract][Full Text] [Related]
10. Deep Learning Hybrid Techniques for Brain Tumor Segmentation. Munir K; Frezza F; Rizzi A Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365900 [TBL] [Abstract][Full Text] [Related]
11. Two-headed UNetEfficientNets for parallel execution of segmentation and classification of brain tumors: incorporating postprocessing techniques with connected component labelling. Rai HM; Yoo J; Dashkevych S J Cancer Res Clin Oncol; 2024 Apr; 150(4):220. PubMed ID: 38684578 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. Albalawi E; T R M; Thakur A; Kumar VV; Gupta M; Khan SB; Almusharraf A BMC Med Imaging; 2024 May; 24(1):110. PubMed ID: 38750436 [TBL] [Abstract][Full Text] [Related]
14. Brain tumor classification in MRI image using convolutional neural network. Khan HA; Jue W; Mushtaq M; Mushtaq MU Math Biosci Eng; 2020 Sep; 17(5):6203-6216. PubMed ID: 33120595 [TBL] [Abstract][Full Text] [Related]
15. Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images. Pei L; Vidyaratne L; Rahman MM; Iftekharuddin KM Sci Rep; 2020 Nov; 10(1):19726. PubMed ID: 33184301 [TBL] [Abstract][Full Text] [Related]
16. Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images. Zhang Y; Chan S; Park VY; Chang KT; Mehta S; Kim MJ; Combs FJ; Chang P; Chow D; Parajuli R; Mehta RS; Lin CY; Chien SH; Chen JH; Su MY Acad Radiol; 2022 Jan; 29 Suppl 1(Suppl 1):S135-S144. PubMed ID: 33317911 [TBL] [Abstract][Full Text] [Related]
17. Self-attention-based generative adversarial network optimized with color harmony algorithm for brain tumor classification. S SP; A S; T K; S D Electromagn Biol Med; 2024 Apr; 43(1-2):31-45. PubMed ID: 38369844 [TBL] [Abstract][Full Text] [Related]
18. AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation. Hoseini F; Shahbahrami A; Bayat P J Digit Imaging; 2019 Feb; 32(1):105-115. PubMed ID: 30039425 [TBL] [Abstract][Full Text] [Related]
19. 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]