336 related articles for article (PubMed ID: 31000728)
21. Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network.
Pal A; Garain U; Chandra A; Chatterjee R; Senapati S
Comput Methods Programs Biomed; 2018 Jun; 159():59-69. PubMed ID: 29650319
[TBL] [Abstract][Full Text] [Related]
22. Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
Ferreira JR; Armando Cardona Cardenas D; Moreno RA; de Fatima de Sa Rebelo M; Krieger JE; Antonio Gutierrez M
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1238-1241. PubMed ID: 33018211
[TBL] [Abstract][Full Text] [Related]
23. Deep learning classification of active tuberculosis lung zones wise manifestations using chest X-rays: a multi label approach.
Devasia J; Goswami H; Lakshminarayanan S; Rajaram M; Adithan S
Sci Rep; 2023 Jan; 13(1):887. PubMed ID: 36650270
[TBL] [Abstract][Full Text] [Related]
24. Deep feature descriptor based hierarchical dense matching for X-ray angiographic images.
Fan J; Yang J; Wang Y; Yang S; Ai D; Huang Y; Song H; Wang Y; Shen D
Comput Methods Programs Biomed; 2019 Jul; 175():233-242. PubMed ID: 31104711
[TBL] [Abstract][Full Text] [Related]
25. An efficient deep learning-based framework for tuberculosis detection using chest X-ray images.
Iqbal A; Usman M; Ahmed Z
Tuberculosis (Edinb); 2022 Sep; 136():102234. PubMed ID: 35872406
[TBL] [Abstract][Full Text] [Related]
26. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
Xu Y; Jia Z; Wang LB; Ai Y; Zhang F; Lai M; Chang EI
BMC Bioinformatics; 2017 May; 18(1):281. PubMed ID: 28549410
[TBL] [Abstract][Full Text] [Related]
27. Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
Wang H; Jia H; Lu L; Xia Y
IEEE J Biomed Health Inform; 2020 Feb; 24(2):475-485. PubMed ID: 31329567
[TBL] [Abstract][Full Text] [Related]
28. Reducing the U-Net size for practical scenarios: Virus recognition in electron microscopy images.
Matuszewski DJ; Sintorn IM
Comput Methods Programs Biomed; 2019 Sep; 178():31-39. PubMed ID: 31416558
[TBL] [Abstract][Full Text] [Related]
29. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
30. Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images.
Behzadi-Khormouji H; Rostami H; Salehi S; Derakhshande-Rishehri T; Masoumi M; Salemi S; Keshavarz A; Gholamrezanezhad A; Assadi M; Batouli A
Comput Methods Programs Biomed; 2020 Mar; 185():105162. PubMed ID: 31715332
[TBL] [Abstract][Full Text] [Related]
31. Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images.
Ahmad F; Farooq A; Ghani MU
Comput Intell Neurosci; 2021; 2021():8890226. PubMed ID: 33488691
[TBL] [Abstract][Full Text] [Related]
32. Deep learning for report generation on chest X-ray images.
Ouis MY; A Akhloufi M
Comput Med Imaging Graph; 2024 Jan; 111():102320. PubMed ID: 38134726
[TBL] [Abstract][Full Text] [Related]
33. An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis.
Shamsi A; Asgharnezhad H; Jokandan SS; Khosravi A; Kebria PM; Nahavandi D; Nahavandi S; Srinivasan D
IEEE Trans Neural Netw Learn Syst; 2021 Apr; 32(4):1408-1417. PubMed ID: 33571095
[TBL] [Abstract][Full Text] [Related]
34. Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs.
Rajaraman S; Sornapudi S; Kohli M; Antani S
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3689-3692. PubMed ID: 31946676
[TBL] [Abstract][Full Text] [Related]
35. What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images.
Philbrick KA; Yoshida K; Inoue D; Akkus Z; Kline TL; Weston AD; Korfiatis P; Takahashi N; Erickson BJ
AJR Am J Roentgenol; 2018 Dec; 211(6):1184-1193. PubMed ID: 30403527
[TBL] [Abstract][Full Text] [Related]
36. Transfer learning for classification of cardiovascular tissues in histological images.
Mazo C; Bernal J; Trujillo M; Alegre E
Comput Methods Programs Biomed; 2018 Oct; 165():69-76. PubMed ID: 30337082
[TBL] [Abstract][Full Text] [Related]
37. Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning.
Singh V; Danda V; Gorniak R; Flanders A; Lakhani P
J Digit Imaging; 2019 Aug; 32(4):651-655. PubMed ID: 31073816
[TBL] [Abstract][Full Text] [Related]
38. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
[TBL] [Abstract][Full Text] [Related]
39. Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye.
Cheng X; Ren Y; Cheng K; Cao J; Hao Q
Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32370162
[TBL] [Abstract][Full Text] [Related]
40. Deep Learning: An Update for Radiologists.
Cheng PM; Montagnon E; Yamashita R; Pan I; Cadrin-Chênevert A; Perdigón Romero F; Chartrand G; Kadoury S; Tang A
Radiographics; 2021; 41(5):1427-1445. PubMed ID: 34469211
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]