131 related articles for article (PubMed ID: 36794074)
1. A framework to distinguish healthy/cancer renal CT images using the fused deep features.
Rajinikanth V; Vincent PMDR; Srinivasan K; Ananth Prabhu G; Chang CY
Front Public Health; 2023; 11():1109236. PubMed ID: 36794074
[TBL] [Abstract][Full Text] [Related]
2. Colon histology slide classification with deep-learning framework using individual and fused features.
Rajinikanth V; Kadry S; Mohan R; Rama A; Khan MA; Kim J
Math Biosci Eng; 2023 Oct; 20(11):19454-19467. PubMed ID: 38052609
[TBL] [Abstract][Full Text] [Related]
3. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
Lee H; Hong H; Kim J; Jung DC
Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
[TBL] [Abstract][Full Text] [Related]
4. Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.
Krishnamoorthy S; Zhang Y; Kadry S; Khan MA; Alhaisoni M; Mustafa N; Yu W; Alqahtani A
Comput Intell Neurosci; 2023; 2023():4776770. PubMed ID: 36864930
[TBL] [Abstract][Full Text] [Related]
5. Automatic Detection of Benign/Malignant Tumor in Breast Ultrasound Images using Optimal Features.
Yang Y; Liu Q; Dai T; Zhang H
Curr Med Imaging; 2023; 19(13):1570-1579. PubMed ID: 36683320
[TBL] [Abstract][Full Text] [Related]
6. Brain Tumor Class Detection in Flair/T2 Modality MRI Slices Using Elephant-Herd Algorithm Optimized Features.
Rajinikanth V; Vincent PMDR; Gnanaprakasam CN; Srinivasan K; Chang CY
Diagnostics (Basel); 2023 May; 13(11):. PubMed ID: 37296683
[TBL] [Abstract][Full Text] [Related]
7. Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features.
Rajakumar MP; Sonia R; Uma Maheswari B; Karuppiah SP
J Xray Sci Technol; 2021; 29(6):961-974. PubMed ID: 34459432
[TBL] [Abstract][Full Text] [Related]
8. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
[TBL] [Abstract][Full Text] [Related]
9. Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images.
Baygin M; Yaman O; Barua PD; Dogan S; Tuncer T; Acharya UR
Artif Intell Med; 2022 May; 127():102274. PubMed ID: 35430036
[TBL] [Abstract][Full Text] [Related]
10. Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images.
Sut SK; Koc M; Zorlu G; Serhatlioglu I; Barua PD; Dogan S; Baygin M; Tuncer T; Tan RS; Acharya UR
J Digit Imaging; 2023 Jun; 36(3):879-892. PubMed ID: 36658376
[TBL] [Abstract][Full Text] [Related]
11. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
12. Automated Sagittal Craniosynostosis Classification from CT Images Using Transfer Learning.
You L; Zhang G; Zhao W; R MG; David L; Zhou X
Clin Surg; 2020 Feb; 5():. PubMed ID: 32704611
[TBL] [Abstract][Full Text] [Related]
13. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
Lee HS; Hong H; Jung DC; Park S; Kim J
Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
[TBL] [Abstract][Full Text] [Related]
14. Screening of COVID-19 based on the extracted radiomics features from chest CT images.
Rezaeijo SM; Abedi-Firouzjah R; Ghorvei M; Sarnameh S
J Xray Sci Technol; 2021; 29(2):229-243. PubMed ID: 33612539
[TBL] [Abstract][Full Text] [Related]
15. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
16. An Efficient Cancer Classification Model for CT/MRI/PET Fused Images.
Srimathi S; Yamuna G; Nanmaran R
Curr Med Imaging; 2021; 17(3):319-330. PubMed ID: 32598263
[TBL] [Abstract][Full Text] [Related]
17. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
Kar S; Majumder DD
Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based metal artefact reduction in PET/CT imaging.
Arabi H; Zaidi H
Eur Radiol; 2021 Aug; 31(8):6384-6396. PubMed ID: 33569626
[TBL] [Abstract][Full Text] [Related]
19. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
[TBL] [Abstract][Full Text] [Related]
20. The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method.
Han S; Hwang SI; Lee HJ
J Digit Imaging; 2019 Aug; 32(4):638-643. PubMed ID: 31098732
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
