220 related articles for article (PubMed ID: 34502735)
1. Deep Learning-Based High-Frequency Ultrasound Skin Image Classification with Multicriteria Model Evaluation.
Czajkowska J; Badura P; Korzekwa S; Płatkowska-Szczerek A; Słowińska M
Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502735
[TBL] [Abstract][Full Text] [Related]
2. Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness.
Czajkowska J; Badura P; Korzekwa S; Płatkowska-Szczerek A
Comput Med Imaging Graph; 2022 Jan; 95():102023. PubMed ID: 34883364
[TBL] [Abstract][Full Text] [Related]
3. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Al-Masni MA; Kim DH; Kim TS
Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
[TBL] [Abstract][Full Text] [Related]
4. Classification of rotator cuff tears in ultrasound images using deep learning models.
Ho TT; Kim GT; Kim T; Choi S; Park EK
Med Biol Eng Comput; 2022 May; 60(5):1269-1278. PubMed ID: 35043367
[TBL] [Abstract][Full Text] [Related]
5. High-Frequency Ultrasound Dataset for Deep Learning-Based Image Quality Assessment.
Czajkowska J; Juszczyk J; Piejko L; Glenc-Ambroży M
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214381
[TBL] [Abstract][Full Text] [Related]
6. Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging.
Zhang Y; Hong D; McClement D; Oladosu O; Pridham G; Slaney G
J Neurosci Methods; 2021 Apr; 353():109098. PubMed ID: 33582174
[TBL] [Abstract][Full Text] [Related]
7. MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification.
Bala D; Hossain MS; Hossain MA; Abdullah MI; Rahman MM; Manavalan B; Gu N; Islam MS; Huang Z
Neural Netw; 2023 Apr; 161():757-775. PubMed ID: 36848828
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Application for Effective Classification of Different Types of Psoriasis.
Aijaz SF; Khan SJ; Azim F; Shakeel CS; Hassan U
J Healthc Eng; 2022; 2022():7541583. PubMed ID: 35075392
[TBL] [Abstract][Full Text] [Related]
9. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S; Yu Z; Orgun MA
Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
[TBL] [Abstract][Full Text] [Related]
10. A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
Zhu YC; AlZoubi A; Jassim S; Jiang Q; Zhang Y; Wang YB; Ye XD; DU H
Ultrasonics; 2021 Feb; 110():106300. PubMed ID: 33232887
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
Baig R; Bibi M; Hamid A; Kausar S; Khalid S
Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
[TBL] [Abstract][Full Text] [Related]
12. Breast ultrasound lesion classification based on image decomposition and transfer learning.
Zhuang Z; Kang Y; Joseph Raj AN; Yuan Y; Ding W; Qiu S
Med Phys; 2020 Dec; 47(12):6257-6269. PubMed ID: 33012047
[TBL] [Abstract][Full Text] [Related]
13. Saliency Map and Deep Learning in Binary Classification of Brain Tumours.
Chmiel W; Kwiecień J; Motyka K
Sensors (Basel); 2023 May; 23(9):. PubMed ID: 37177747
[TBL] [Abstract][Full Text] [Related]
14. Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images.
Zaman A; Park SH; Bang H; Park CW; Park I; Joung S
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):931-941. PubMed ID: 32399586
[TBL] [Abstract][Full Text] [Related]
15. A novel fused convolutional neural network for biomedical image classification.
Pang S; Du A; Orgun MA; Yu Z
Med Biol Eng Comput; 2019 Jan; 57(1):107-121. PubMed ID: 30003400
[TBL] [Abstract][Full Text] [Related]
16. Deep Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images.
Papandrianos NI; Feleki A; Papageorgiou EI; Martini C
J Clin Med; 2022 Jul; 11(13):. PubMed ID: 35807203
[TBL] [Abstract][Full Text] [Related]
17. Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear.
Lee K; Kim JY; Lee MH; Choi CH; Hwang JY
Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33809972
[TBL] [Abstract][Full Text] [Related]
18. Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.
Bargagna F; De Santi LA; Martini N; Genovesi D; Favilli B; Vergaro G; Emdin M; Giorgetti A; Positano V; Santarelli MF
J Digit Imaging; 2023 Dec; 36(6):2567-2577. PubMed ID: 37787869
[TBL] [Abstract][Full Text] [Related]
19. White blood cells identification system based on convolutional deep neural learning networks.
Shahin AI; Guo Y; Amin KM; Sharawi AA
Comput Methods Programs Biomed; 2019 Jan; 168():69-80. PubMed ID: 29173802
[TBL] [Abstract][Full Text] [Related]
20. A Deep Learning Approach for Segmentation, Classification, and Visualization of 3-D High-Frequency Ultrasound Images of Mouse Embryos.
Qiu Z; Xu T; Langerman J; Das W; Wang C; Nair N; Aristizabal O; Mamou J; Turnbull DH; Ketterling JA; Wang Y
IEEE Trans Ultrason Ferroelectr Freq Control; 2021 Jul; 68(7):2460-2471. PubMed ID: 33755564
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
