194 related articles for article (PubMed ID: 36671641)
1. Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic Masses.
Nakata N; Siina T
Bioengineering (Basel); 2023 Jan; 10(1):. PubMed ID: 36671641
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.
Zabihollahy F; Schieda N; Krishna S; Ukwatta E
Eur Radiol; 2020 Sep; 30(9):5183-5190. PubMed ID: 32350661
[TBL] [Abstract][Full Text] [Related]
4. The mathematics of erythema: Development of machine learning models for artificial intelligence assisted measurement and severity scoring of radiation induced dermatitis.
Ranjan R; Partl R; Erhart R; Kurup N; Schnidar H
Comput Biol Med; 2021 Dec; 139():104952. PubMed ID: 34739967
[TBL] [Abstract][Full Text] [Related]
5. Deep learning with convolutional neural networks for identification of liver masses and hepatocellular carcinoma: A systematic review.
Azer SA
World J Gastrointest Oncol; 2019 Dec; 11(12):1218-1230. PubMed ID: 31908726
[TBL] [Abstract][Full Text] [Related]
6. Diagnosis of Early Glottic Cancer Using Laryngeal Image and Voice Based on Ensemble Learning of Convolutional Neural Network Classifiers.
Kwon I; Wang SG; Shin SC; Cheon YI; Lee BJ; Lee JC; Lim DW; Jo C; Cho Y; Shin BJ
J Voice; 2022 Sep; ():. PubMed ID: 36075802
[TBL] [Abstract][Full Text] [Related]
7. An ensemble of deep neural networks for kidney ultrasound image classification.
Sudharson S; Kokil P
Comput Methods Programs Biomed; 2020 Dec; 197():105709. PubMed ID: 32889406
[TBL] [Abstract][Full Text] [Related]
8. Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods.
Al-Azzwi ZHN; Nazarov AN
Asian Pac J Cancer Prev; 2023 Jun; 24(6):2141-2148. PubMed ID: 37378946
[TBL] [Abstract][Full Text] [Related]
9. Non-annotated renal histopathological image analysis with deep ensemble learning.
Koo JC; Ke Q; Hum YC; Goh CH; Lai KW; Yap WS; Tee YK
Quant Imaging Med Surg; 2023 Sep; 13(9):5902-5920. PubMed ID: 37711826
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
Visuña L; Yang D; Garcia-Blas J; Carretero J
BMC Med Imaging; 2022 Oct; 22(1):178. PubMed ID: 36243705
[TBL] [Abstract][Full Text] [Related]
11. Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images.
Albashish D
PeerJ Comput Sci; 2022; 8():e1031. PubMed ID: 35875641
[TBL] [Abstract][Full Text] [Related]
12. Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks.
Ali MD; Saleem A; Elahi H; Khan MA; Khan MI; Yaqoob MM; Farooq Khattak U; Al-Rasheed A
Diagnostics (Basel); 2023 Jun; 13(13):. PubMed ID: 37443636
[TBL] [Abstract][Full Text] [Related]
13. Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.
Fujioka T; Kubota K; Mori M; Kikuchi Y; Katsuta L; Kasahara M; Oda G; Ishiba T; Nakagawa T; Tateishi U
Jpn J Radiol; 2019 Jun; 37(6):466-472. PubMed ID: 30888570
[TBL] [Abstract][Full Text] [Related]
14. Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.
Zhou G; Mosadegh B
Acad Radiol; 2024 Jan; 31(1):104-120. PubMed ID: 37666747
[TBL] [Abstract][Full Text] [Related]
15. Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis.
Sanabria SJ; Pirmoazen AM; Dahl J; Kamaya A; El Kaffas A
Ultrasound Med Biol; 2022 Oct; 48(10):2060-2078. PubMed ID: 35914993
[TBL] [Abstract][Full Text] [Related]
16. Development of a manufacturer-independent convolutional neural network for the automated identification of vertebral compression fractures in vertebral fracture assessment images using active learning.
Monchka BA; Schousboe JT; Davidson MJ; Kimelman D; Hans D; Raina P; Leslie WD
Bone; 2022 Aug; 161():116427. PubMed ID: 35489707
[TBL] [Abstract][Full Text] [Related]
17. A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images.
Zhao HB; Liu C; Ye J; Chang LF; Xu Q; Shi BW; Liu LL; Yin YL; Shi BB
Endokrynol Pol; 2021; 72(3):217-225. PubMed ID: 33619712
[TBL] [Abstract][Full Text] [Related]
18. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
Tang P; Liang Q; Yan X; Xiang S; Zhang D
IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
[TBL] [Abstract][Full Text] [Related]
19. Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm.
Tandel GS; Balestrieri A; Jujaray T; Khanna NN; Saba L; Suri JS
Comput Biol Med; 2020 Jul; 122():103804. PubMed ID: 32658726
[TBL] [Abstract][Full Text] [Related]
20. Multiclass wound image classification using an ensemble deep CNN-based classifier.
Rostami B; Anisuzzaman DM; Wang C; Gopalakrishnan S; Niezgoda J; Yu Z
Comput Biol Med; 2021 Jul; 134():104536. PubMed ID: 34126281
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]