245 related articles for article (PubMed ID: 38102956)
21. A review on brain tumor segmentation of MRI images.
Wadhwa A; Bhardwaj A; Singh Verma V
Magn Reson Imaging; 2019 Sep; 61():247-259. PubMed ID: 31200024
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus-transfer learning from existing algorithms.
Grimm F; Edl F; Kerscher SR; Nieselt K; Gugel I; Schuhmann MU
Acta Neurochir (Wien); 2020 Oct; 162(10):2463-2474. PubMed ID: 32583085
[TBL] [Abstract][Full Text] [Related]
24. An Intensity Variation Pattern Analysis Based Machine Learning Classifier for MRI Brain Tumor Detection.
Murugesan M; Ragavan D
Curr Med Imaging Rev; 2019; 15(6):555-564. PubMed ID: 32008563
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.
Kocher M; Ruge MI; Galldiks N; Lohmann P
Strahlenther Onkol; 2020 Oct; 196(10):856-867. PubMed ID: 32394100
[TBL] [Abstract][Full Text] [Related]
27. Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors.
Sun L; Hu X; Liu Y; Cai H
Contrast Media Mol Imaging; 2021; 2021():1104611. PubMed ID: 34548850
[TBL] [Abstract][Full Text] [Related]
28. Within-brain classification for brain tumor segmentation.
Havaei M; Larochelle H; Poulin P; Jodoin PM
Int J Comput Assist Radiol Surg; 2016 May; 11(5):777-88. PubMed ID: 26530300
[TBL] [Abstract][Full Text] [Related]
29. A Review of Various Machine Learning Techniques for Brain Tumor Detection from MRI Images.
Bajaj AS; Chouhan U
Curr Med Imaging; 2020; 16(8):937-945. PubMed ID: 33081656
[TBL] [Abstract][Full Text] [Related]
30. An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine.
Özyurt F; Sert E; Avcı D
Med Hypotheses; 2020 Jan; 134():109433. PubMed ID: 31634769
[TBL] [Abstract][Full Text] [Related]
31. A review on brain tumor segmentation based on deep learning methods with federated learning techniques.
Ahamed MF; Hossain MM; Nahiduzzaman M; Islam MR; Islam MR; Ahsan M; Haider J
Comput Med Imaging Graph; 2023 Dec; 110():102313. PubMed ID: 38011781
[TBL] [Abstract][Full Text] [Related]
32. MRI Brain Tumour Segmentation Using Hybrid Clustering and Classification by Back Propagation Algorithm.
M M; P S
Asian Pac J Cancer Prev; 2018 Nov; 19(11):3257-3263. PubMed ID: 30486629
[TBL] [Abstract][Full Text] [Related]
33. State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms.
Fatima A; Shahid AR; Raza B; Madni TM; Janjua UI
J Digit Imaging; 2020 Dec; 33(6):1443-1464. PubMed ID: 32666364
[TBL] [Abstract][Full Text] [Related]
34. Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware.
Şişik F; Sert E
Med Hypotheses; 2020 Mar; 136():109507. PubMed ID: 31812927
[TBL] [Abstract][Full Text] [Related]
35. A survey on brain tumor image analysis.
Sailunaz K; Alhajj S; Özyer T; Rokne J; Alhajj R
Med Biol Eng Comput; 2024 Jan; 62(1):1-45. PubMed ID: 37700082
[TBL] [Abstract][Full Text] [Related]
36. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
Sun J; Chen W; Peng S; Liu B
J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
[TBL] [Abstract][Full Text] [Related]
37. Brain tumor segmentation using holistically nested neural networks in MRI images.
Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network.
Ahmadi M; Sharifi A; Hassantabar S; Enayati S
Biomed Res Int; 2021; 2021():6653879. PubMed ID: 33542920
[TBL] [Abstract][Full Text] [Related]
40. Deep learning of brain magnetic resonance images: A brief review.
Zhao X; Zhao XM
Methods; 2021 Aug; 192():131-140. PubMed ID: 32931932
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
