407 related articles for article (PubMed ID: 29043858)
1. Melanoma segmentation based on deep learning.
Zhang X
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):267-277. PubMed ID: 29043858
[TBL] [Abstract][Full Text] [Related]
2. Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt +.
Zhao C; Shuai R; Ma L; Liu W; Wu M
Med Biol Eng Comput; 2021 Sep; 59(9):1815-1832. PubMed ID: 34304370
[TBL] [Abstract][Full Text] [Related]
3. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
Premaladha J; Ravichandran KS
J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778
[TBL] [Abstract][Full Text] [Related]
4. Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A
Comput Methods Programs Biomed; 2019 Aug; 177():17-30. PubMed ID: 31319945
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
R D S; A S
Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
[TBL] [Abstract][Full Text] [Related]
8. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
[TBL] [Abstract][Full Text] [Related]
9. Melanoma diagnosis using deep learning techniques on dermatoscopic images.
Jojoa Acosta MF; Caballero Tovar LY; Garcia-Zapirain MB; Percybrooks WS
BMC Med Imaging; 2021 Jan; 21(1):6. PubMed ID: 33407213
[TBL] [Abstract][Full Text] [Related]
10. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
[TBL] [Abstract][Full Text] [Related]
11. Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.
Nida N; Irtaza A; Javed A; Yousaf MH; Mahmood MT
Int J Med Inform; 2019 Apr; 124():37-48. PubMed ID: 30784425
[TBL] [Abstract][Full Text] [Related]
12. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
P B S; Faruqi F; K S H; Kudva R
Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
[TBL] [Abstract][Full Text] [Related]
13. Review of medical image recognition technologies to detect melanomas using neural networks.
Efimenko M; Ignatev A; Koshechkin K
BMC Bioinformatics; 2020 Sep; 21(Suppl 11):270. PubMed ID: 32921304
[TBL] [Abstract][Full Text] [Related]
14. Dense pooling layers in fully convolutional network for skin lesion segmentation.
Nasr-Esfahani E; Rafiei S; Jafari MH; Karimi N; Wrobel JS; Samavi S; Reza Soroushmehr SM
Comput Med Imaging Graph; 2019 Dec; 78():101658. PubMed ID: 31634739
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
Bi L; Kim J; Ahn E; Kumar A; Fulham M; Feng D
IEEE Trans Biomed Eng; 2017 Sep; 64(9):2065-2074. PubMed ID: 28600236
[TBL] [Abstract][Full Text] [Related]
17. Melanoma Skin Cancer Detection Using Recent Deep Learning Models
Guergueb T; Akhloufi MA
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3074-3077. PubMed ID: 34891892
[TBL] [Abstract][Full Text] [Related]
18. Differential convolutional neural network.
Sarıgül M; Ozyildirim BM; Avci M
Neural Netw; 2019 Aug; 116():279-287. PubMed ID: 31125914
[TBL] [Abstract][Full Text] [Related]
19. Detection of malignant melanoma in H&E-stained images using deep learning techniques.
Alheejawi S; Berendt R; Jha N; Maity SP; Mandal M
Tissue Cell; 2021 Dec; 73():101659. PubMed ID: 34634635
[TBL] [Abstract][Full Text] [Related]
20. Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review.
Cui X; Wei R; Gong L; Qi R; Zhao Z; Chen H; Song K; Abdulrahman AAA; Wang Y; Chen JZS; Chen S; Zhao Y; Gao X
J Am Acad Dermatol; 2019 Nov; 81(5):1176-1180. PubMed ID: 31255749
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
