149 related articles for article (PubMed ID: 37238277)
41. Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.
Srivastava G; Pradhan N; Saini Y
Comput Biol Med; 2022 Oct; 149():105979. PubMed ID: 36063689
[TBL] [Abstract][Full Text] [Related]
42. Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models.
Nguyen DT; Lee MB; Pham TD; Batchuluun G; Arsalan M; Park KR
Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33105736
[TBL] [Abstract][Full Text] [Related]
43. DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images.
Wang Y; Hu C; Kwok T; Bain CA; Xue X; Gasser RB; Webb GI; Boussioutas A; Shen X; Daly RJ; Song J
Bioinformatics; 2022 Sep; 38(17):4206-4213. PubMed ID: 35801909
[TBL] [Abstract][Full Text] [Related]
44. Ensemble neural network approach detecting pain intensity from facial expressions.
Bargshady G; Zhou X; Deo RC; Soar J; Whittaker F; Wang H
Artif Intell Med; 2020 Sep; 109():101954. PubMed ID: 34756219
[TBL] [Abstract][Full Text] [Related]
45. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH
Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026
[TBL] [Abstract][Full Text] [Related]
46. Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images.
Ayan E; Karabulut B; Ünver HM
Arab J Sci Eng; 2022; 47(2):2123-2139. PubMed ID: 34540526
[TBL] [Abstract][Full Text] [Related]
47. The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.
Altini N; Marvulli TM; Zito FA; Caputo M; Tommasi S; Azzariti A; Brunetti A; Prencipe B; Mattioli E; De Summa S; Bevilacqua V
Comput Methods Programs Biomed; 2023 Jun; 234():107511. PubMed ID: 37011426
[TBL] [Abstract][Full Text] [Related]
48. Label-Efficient Breast Cancer Histopathological Image Classification.
Qi Q; Li Y; Wang J; Zheng H; Huang Y; Ding X; Rohde GK
IEEE J Biomed Health Inform; 2019 Sep; 23(5):2108-2116. PubMed ID: 30530374
[TBL] [Abstract][Full Text] [Related]
49. A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.
Dabass M; Vashisth S; Vig R
Comput Biol Med; 2022 Aug; 147():105680. PubMed ID: 35671654
[TBL] [Abstract][Full Text] [Related]
50. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
[TBL] [Abstract][Full Text] [Related]
51. LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification.
Ren Z; Zhang Y; Wang S
Technol Cancer Res Treat; 2022; 21():15330338221124372. PubMed ID: 36148908
[No Abstract] [Full Text] [Related]
52. Bucket of Deep Transfer Learning Features and Classification Models for Melanoma Detection.
Manzo M; Pellino S
J Imaging; 2020 Nov; 6(12):. PubMed ID: 34460526
[TBL] [Abstract][Full Text] [Related]
53. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
54. A hyperspectral dataset of precancerous lesions in gastric cancer and benchmarks for pathological diagnosis.
Zhang Y; Wang Y; Zhang B; Li Q
J Biophotonics; 2022 Nov; 15(11):e202200163. PubMed ID: 35869783
[TBL] [Abstract][Full Text] [Related]
55. Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Loddo A; Buttau S; Di Ruberto C
Comput Biol Med; 2022 Feb; 141():105032. PubMed ID: 34838263
[TBL] [Abstract][Full Text] [Related]
56. Optimization of Deep Learning Network Parameters Using Uniform Experimental Design for Breast Cancer Histopathological Image Classification.
Lin CJ; Jeng SY
Diagnostics (Basel); 2020 Sep; 10(9):. PubMed ID: 32882935
[TBL] [Abstract][Full Text] [Related]
57. An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of Convolutional Neural Networks.
Kumaraswamy E; Kumar S; Sharma M
Diagnostics (Basel); 2023 Jun; 13(11):. PubMed ID: 37296828
[TBL] [Abstract][Full Text] [Related]
58. A Multi-Stage Approach to Breast Cancer Classification Using Histopathology Images.
Bagchi A; Pramanik P; Sarkar R
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611418
[TBL] [Abstract][Full Text] [Related]
59. Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection.
Li X; Shen L; Xie X; Huang S; Xie Z; Hong X; Yu J
Artif Intell Med; 2020 Mar; 103():101744. PubMed ID: 31732411
[TBL] [Abstract][Full Text] [Related]
60. Tile-based microscopic image processing for malaria screening using a deep learning approach.
Shewajo FA; Fante KA
BMC Med Imaging; 2023 Mar; 23(1):39. PubMed ID: 36949382
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]