244 related articles for article (PubMed ID: 35122364)
21. Automatic skin lesions detection from images through microscopic hybrid features set and machine learning classifiers.
Alyami J; Rehman A; Sadad T; Alruwaythi M; Saba T; Bahaj SA
Microsc Res Tech; 2022 Nov; 85(11):3600-3607. PubMed ID: 35876390
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
24. COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms.
Prince R; Niu Z; Khan ZY; Emmanuel M; Patrick N
BMC Bioinformatics; 2024 Jan; 25(1):28. PubMed ID: 38233764
[TBL] [Abstract][Full Text] [Related]
25. Identification and Classification of Lungs Focal Opacity Using CNN Segmentation and Optimal Feature Selection.
Javed MA; Bin Liaqat H; Meraj T; Alotaibi A; Alshammari M
Comput Intell Neurosci; 2023; 2023():6357252. PubMed ID: 37538561
[TBL] [Abstract][Full Text] [Related]
26. [Prognosis Prediction of Lung Cancer Patients Using CT Images: Feature Extraction by Convolutional Neural Network and Prediction by Machine Learning].
Oshita Y; Takeuchi N; Teramoto A; Kondo M; Imaizumi K; Saito K; Fujita H
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2022 Aug; 78(8):829-837. PubMed ID: 35811128
[TBL] [Abstract][Full Text] [Related]
27. Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning.
Liu C; Wang X; Liu C; Sun Q; Peng W
Biomed Eng Online; 2020 Aug; 19(1):66. PubMed ID: 32814568
[TBL] [Abstract][Full Text] [Related]
28. 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. PubMed ID: 30195423
[TBL] [Abstract][Full Text] [Related]
29. An Expert System for COVID-19 Infection Tracking in Lungs Using Image Processing and Deep Learning Techniques.
Subramaniam U; Subashini MM; Almakhles D; Karthick A; Manoharan S
Biomed Res Int; 2021; 2021():1896762. PubMed ID: 34782860
[TBL] [Abstract][Full Text] [Related]
30. Computer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features.
Way TW; Sahiner B; Chan HP; Hadjiiski L; Cascade PN; Chughtai A; Bogot N; Kazerooni E
Med Phys; 2009 Jul; 36(7):3086-98. PubMed ID: 19673208
[TBL] [Abstract][Full Text] [Related]
31. Machine learning-based automatic detection of novel coronavirus (COVID-19) disease.
Bhargava A; Bansal A; Goyal V
Multimed Tools Appl; 2022; 81(10):13731-13750. PubMed ID: 35221781
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. 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]
34. A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
Zahoor MM; Qureshi SA; Bibi S; Khan SH; Khan A; Ghafoor U; Bhutta MR
Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408340
[TBL] [Abstract][Full Text] [Related]
35. A novel computer-aided lung nodule detection system for CT images.
Tan M; Deklerck R; Jansen B; Bister M; Cornelis J
Med Phys; 2011 Oct; 38(10):5630-45. PubMed ID: 21992380
[TBL] [Abstract][Full Text] [Related]
36. Predicting benign, preinvasive, and invasive lung nodules on computed tomography scans using machine learning.
Ashraf SF; Yin K; Meng CX; Wang Q; Wang Q; Pu J; Dhupar R
J Thorac Cardiovasc Surg; 2022 Apr; 163(4):1496-1505.e10. PubMed ID: 33726909
[TBL] [Abstract][Full Text] [Related]
37. GACDN: generative adversarial feature completion and diagnosis network for COVID-19.
Zhu Q; Ye H; Sun L; Li Z; Wang R; Shi F; Shen D; Zhang D
BMC Med Imaging; 2021 Oct; 21(1):154. PubMed ID: 34674660
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Hybrid detection of lung nodules on CT scan images.
Lu L; Tan Y; Schwartz LH; Zhao B
Med Phys; 2015 Sep; 42(9):5042-54. PubMed ID: 26328955
[TBL] [Abstract][Full Text] [Related]
40. Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.
Tu SJ; Wang CW; Pan KT; Wu YC; Wu CT
Phys Med Biol; 2018 Mar; 63(6):065005. PubMed ID: 29446758
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]