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Items: 1 to 20 of 96

1.

A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned.

Abd-Ellah MK, Awad AI, Khalaf AAM, Hamed HFA.

Magn Reson Imaging. 2019 Jun 5;61:300-318. doi: 10.1016/j.mri.2019.05.028. [Epub ahead of print] Review.

PMID:
31173851
2.

Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.

Naceur MB, Saouli R, Akil M, Kachouri R.

Comput Methods Programs Biomed. 2018 Nov;166:39-49. doi: 10.1016/j.cmpb.2018.09.007. Epub 2018 Sep 21.

PMID:
30415717
3.

A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.

William W, Ware A, Basaza-Ejiri AH, Obungoloch J.

Comput Methods Programs Biomed. 2018 Oct;164:15-22. doi: 10.1016/j.cmpb.2018.05.034. Epub 2018 Jun 26. Review.

PMID:
30195423
4.

[Research progress of computer-aided diagnosis in cancer based on deep learning and medical imaging].

Chen S, Liu W, Qin J, Chen L, Bin G, Zhou Y, Wang T, Huang B.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2017 Apr 25;34(2):314-319. doi: 10.7507/1001-5515.201609047. Review. Chinese.

PMID:
29745591
5.

Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.

Deng M, Yu R, Wang L, Shi F, Yap PT, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Med Phys. 2016 Dec;43(12):6588-6597. doi: 10.1118/1.4967487.

PMID:
28054724
6.

Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.

Liu M, Cheng D, Wang K, Wang Y; Alzheimer’s Disease Neuroimaging Initiative.

Neuroinformatics. 2018 Oct;16(3-4):295-308. doi: 10.1007/s12021-018-9370-4.

PMID:
29572601
7.

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. doi: 10.1002/mp.12481. Epub 2017 Aug 20.

8.

A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning.

Lu W, Li Z, Chu J.

Comput Biol Med. 2017 Apr 1;83:157-165. doi: 10.1016/j.compbiomed.2017.03.002. Epub 2017 Mar 6.

PMID:
28282591
9.

Machine learning and radiology.

Wang S, Summers RM.

Med Image Anal. 2012 Jul;16(5):933-51. doi: 10.1016/j.media.2012.02.005. Epub 2012 Feb 23. Review.

10.

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

Akkus Z, Galimzianova A, Hoogi A, Rubin DL, Erickson BJ.

J Digit Imaging. 2017 Aug;30(4):449-459. doi: 10.1007/s10278-017-9983-4. Review.

11.

Deep Learning in Microscopy Image Analysis: A Survey.

Fuyong Xing, Yuanpu Xie, Hai Su, Fujun Liu, Lin Yang.

IEEE Trans Neural Netw Learn Syst. 2018 Oct;29(10):4550-4568. doi: 10.1109/TNNLS.2017.2766168. Epub 2017 Nov 22.

PMID:
29989994
12.

Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

Dalmış MU, Litjens G, Holland K, Setio A, Mann R, Karssemeijer N, Gubern-Mérida A.

Med Phys. 2017 Feb;44(2):533-546. doi: 10.1002/mp.12079.

PMID:
28035663
13.

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.

Al-Antari MA, Al-Masni MA, Choi MT, Han SM, Kim TS.

Int J Med Inform. 2018 Sep;117:44-54. doi: 10.1016/j.ijmedinf.2018.06.003. Epub 2018 Jun 18.

PMID:
30032964
14.

Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.

El Houby EMF.

J Med Syst. 2018 Jul 11;42(8):157. doi: 10.1007/s10916-018-1010-x.

PMID:
29995204
15.

An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM.

Thillaikkarasi R, Saravanan S.

J Med Syst. 2019 Feb 27;43(4):84. doi: 10.1007/s10916-019-1223-7.

PMID:
30810822
16.

Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.

Diniz PHB, Valente TLA, Diniz JOB, Silva AC, Gattass M, Ventura N, Muniz BC, Gasparetto EL.

Comput Methods Programs Biomed. 2018 Dec;167:49-63. doi: 10.1016/j.cmpb.2018.04.011. Epub 2018 Apr 19.

PMID:
29706405
17.

Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.

Jeyaraj PR, Samuel Nadar ER.

J Cancer Res Clin Oncol. 2019 Apr;145(4):829-837. doi: 10.1007/s00432-018-02834-7. Epub 2019 Jan 3.

PMID:
30603908
18.

Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data.

Kim EY, Magnotta VA, Liu D, Johnson HJ.

Magn Reson Imaging. 2014 Sep;32(7):832-44. doi: 10.1016/j.mri.2014.04.016. Epub 2014 May 9.

19.

A Review of Denoising Medical Images Using Machine Learning 
Approaches.

Kaur P, Singh G, Kaur P.

Curr Med Imaging Rev. 2018 Oct;14(5):675-685. doi: 10.2174/1573405613666170428154156. Review.

20.

Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.

Perkuhn M, Stavrinou P, Thiele F, Shakirin G, Mohan M, Garmpis D, Kabbasch C, Borggrefe J.

Invest Radiol. 2018 Nov;53(11):647-654. doi: 10.1097/RLI.0000000000000484.

PMID:
29863600

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