1396 related articles for article (PubMed ID: 26886976)
1. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Shin HC; Roth HR; Gao M; Lu L; Xu Z; Nogues I; Yao J; Mollura D; Summers RM
IEEE Trans Med Imaging; 2016 May; 35(5):1285-98. PubMed ID: 26886976
[TBL] [Abstract][Full Text] [Related]
2. Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism.
Islam NU; Zhou Z; Gehlot S; Gotway MB; Liang J
Med Image Anal; 2024 Jan; 91():102988. PubMed ID: 37924750
[TBL] [Abstract][Full Text] [Related]
3. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
[TBL] [Abstract][Full Text] [Related]
4. A deep convolutional neural network architecture for interstitial lung disease pattern classification.
Huang S; Lee F; Miao R; Si Q; Lu C; Chen Q
Med Biol Eng Comput; 2020 Apr; 58(4):725-737. PubMed ID: 31965407
[TBL] [Abstract][Full Text] [Related]
5. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Tajbakhsh N; Shin JY; Gurudu SR; Hurst RT; Kendall CB; Gotway MB; Jianming Liang
IEEE Trans Med Imaging; 2016 May; 35(5):1299-1312. PubMed ID: 26978662
[TBL] [Abstract][Full Text] [Related]
6. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
[TBL] [Abstract][Full Text] [Related]
7. Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
Otálora S; Marini N; Müller H; Atzori M
BMC Med Imaging; 2021 May; 21(1):77. PubMed ID: 33964886
[TBL] [Abstract][Full Text] [Related]
8. Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification.
Ribeiro E; Uhl A; Wimmer G; Häfner M
Comput Math Methods Med; 2016; 2016():6584725. PubMed ID: 27847543
[TBL] [Abstract][Full Text] [Related]
9. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
10. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
11. Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging.
Fantini I; Yasuda C; Bento M; Rittner L; Cendes F; Lotufo R
Comput Med Imaging Graph; 2021 Jun; 90():101897. PubMed ID: 33770561
[TBL] [Abstract][Full Text] [Related]
12. Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview.
Gao J; Jiang Q; Zhou B; Chen D
Math Biosci Eng; 2019 Jul; 16(6):6536-6561. PubMed ID: 31698575
[TBL] [Abstract][Full Text] [Related]
13. Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.
Wolf D; Payer T; Lisson CS; Lisson CG; Beer M; Götz M; Ropinski T
Sci Rep; 2023 Nov; 13(1):20260. PubMed ID: 37985685
[TBL] [Abstract][Full Text] [Related]
14. A transfer learning-based multimodal neural network combining metadata and multiple medical images for glaucoma type diagnosis.
Li Y; Han Y; Li Z; Zhong Y; Guo Z
Sci Rep; 2023 Jul; 13(1):12076. PubMed ID: 37495578
[TBL] [Abstract][Full Text] [Related]
15. Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.
Papandrianos N; Papageorgiou E; Anagnostis A; Papageorgiou K
PLoS One; 2020; 15(8):e0237213. PubMed ID: 32797099
[TBL] [Abstract][Full Text] [Related]
16. Deep Convolutional Neural Networks for breast cancer screening.
Chougrad H; Zouaki H; Alheyane O
Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
[TBL] [Abstract][Full Text] [Related]
17. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
Gómez-Flores W; Coelho de Albuquerque Pereira W
Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
[TBL] [Abstract][Full Text] [Related]
18. Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.
Zhao X; Qi S; Zhang B; Ma H; Qian W; Yao Y; Sun J
J Xray Sci Technol; 2019; 27(4):615-629. PubMed ID: 31227682
[TBL] [Abstract][Full Text] [Related]
19. Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.
Anthimopoulos M; Christodoulidis S; Ebner L; Christe A; Mougiakakou S
IEEE Trans Med Imaging; 2016 May; 35(5):1207-1216. PubMed ID: 26955021
[TBL] [Abstract][Full Text] [Related]
20. Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.
Apostolopoulos ID; Pintelas EG; Livieris IE; Apostolopoulos DJ; Papathanasiou ND; Pintelas PE; Panayiotakis GS
Med Biol Eng Comput; 2021 Jun; 59(6):1299-1310. PubMed ID: 34003394
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
