BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 36794074)

  • 21. Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features.
    Vijayakumar K; Rajinikanth V; Kirubakaran MK
    J Xray Sci Technol; 2022; 30(4):751-766. PubMed ID: 35527619
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Microscopic handcrafted features selection from computed tomography scans for early stage lungs cancer diagnosis using hybrid classifiers.
    Alyami J; Khan AR; Bahaj SA; Fati SM
    Microsc Res Tech; 2022 Jun; 85(6):2181-2191. PubMed ID: 35122364
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Fully automatic detection of lung nodules in CT images using a hybrid feature set.
    Shaukat F; Raja G; Gooya A; Frangi AF
    Med Phys; 2017 Jul; 44(7):3615-3629. PubMed ID: 28409834
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis.
    Ma H; Liu ZX; Zhang JJ; Wu FT; Xu CF; Shen Z; Yu CH; Li YM
    World J Gastroenterol; 2020 Sep; 26(34):5156-5168. PubMed ID: 32982116
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Tensor-RT-Based Transfer Learning Model for Lung Cancer Classification.
    Bishnoi V; Goel N
    J Digit Imaging; 2023 Aug; 36(4):1364-1375. PubMed ID: 37059889
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images.
    Wang J; Chen X; Lu H; Zhang L; Pan J; Bao Y; Su J; Qian D
    Med Phys; 2020 Apr; 47(4):1738-1749. PubMed ID: 32020649
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.
    Shu J; Wen D; Xi Y; Xia Y; Cai Z; Xu W; Meng X; Liu B; Yin H
    Eur J Radiol; 2019 Dec; 121():108738. PubMed ID: 31756634
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Training of deep cross-modality conversion models with a small data set, and their application in megavoltage CT to kilovoltage CT conversion.
    Ozaki S; Kaji S; Nawa K; Imae T; Aoki A; Nakamoto T; Ohta T; Nozawa Y; Yamashita H; Haga A; Nakagawa K
    Med Phys; 2022 Jun; 49(6):3769-3782. PubMed ID: 35315529
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Evaluation of a metal artifact reduction algorithm applied to post-interventional flat detector CT in comparison to pre-treatment CT in patients with acute subarachnoid haemorrhage.
    Mennecke A; Svergun S; Scholz B; Royalty K; Dörfler A; Struffert T
    Eur Radiol; 2017 Jan; 27(1):88-96. PubMed ID: 27085699
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Phase recognition in contrast-enhanced CT scans based on deep learning and random sampling.
    Dao BT; Nguyen TV; Pham HH; Nguyen HQ
    Med Phys; 2022 Jul; 49(7):4518-4528. PubMed ID: 35428990
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Machine learning-based unenhanced CT texture analysis for predicting BAP1 mutation status of clear cell renal cell carcinomas.
    Kocak B; Durmaz ES; Kaya OK; Kilickesmez O
    Acta Radiol; 2020 Jun; 61(6):856-864. PubMed ID: 31635476
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A hybrid CNN-KNN approach for identification of COVID-19 with 5-fold cross validation.
    Sejuti ZA; Islam MS
    Sens Int; 2023; 4():100229. PubMed ID: 36742993
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images.
    Hsiao CH; Sun TL; Lin PC; Peng TY; Chen YH; Cheng CY; Yang FJ; Yang SY; Wu CH; Lin FY; Huang Y
    Comput Methods Programs Biomed; 2022 Jun; 221():106861. PubMed ID: 35588664
    [TBL] [Abstract][Full Text] [Related]  

  • 34. ExHiF: Alzheimer's disease detection using exemplar histogram-based features with CT and MR images.
    Kaplan E; Baygin M; Barua PD; Dogan S; Tuncer T; Altunisik E; Palmer EE; Acharya UR
    Med Eng Phys; 2023 May; 115():103971. PubMed ID: 37120169
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A new composite approach for COVID-19 detection in X-ray images using deep features.
    Ozcan T
    Appl Soft Comput; 2021 Nov; 111():107669. PubMed ID: 34248447
    [TBL] [Abstract][Full Text] [Related]  

  • 36. OralNet: Fused Optimal Deep Features Framework for Oral Squamous Cell Carcinoma Detection.
    Mohan R; Rama A; Raja RK; Shaik MR; Khan M; Shaik B; Rajinikanth V
    Biomolecules; 2023 Jul; 13(7):. PubMed ID: 37509126
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.
    Zhu XL; Shen HB; Sun H; Duan LX; Xu YY
    Int J Comput Assist Radiol Surg; 2022 Jul; 17(7):1303-1311. PubMed ID: 35290645
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Diagnosis of cervical lymph node metastasis with thyroid carcinoma by deep learning application to CT images.
    Wang T; Yan D; Liu Z; Xiao L; Liang C; Xin H; Feng M; Zhao Z; Wang Y
    Front Oncol; 2023; 13():1099104. PubMed ID: 36776294
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Kidney segmentation in CT sequences using graph cuts based active contours model and contextual continuity.
    Zhang P; Liang Y; Chang S; Fan H
    Med Phys; 2013 Aug; 40(8):081905. PubMed ID: 23927319
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Online Diagnosis and Classification of CT Images Collected by Internet of Things Using Deep Learning.
    Ma Q
    Comput Math Methods Med; 2022; 2022():5373624. PubMed ID: 35345522
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.