171 related articles for article (PubMed ID: 35186235)
1. Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network.
Arif M; Philip FM; Ajesh F; Izdrui D; Craciun MD; Geman O
J Healthc Eng; 2022; 2022():6952304. PubMed ID: 35186235
[TBL] [Abstract][Full Text] [Related]
2. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
Alsaade FW; Aldhyani THH; Al-Adhaileh MH
Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Melanoma recognition in dermoscopy images using lesion's peripheral region information.
Tajeddin NZ; Asl BM
Comput Methods Programs Biomed; 2018 Sep; 163():143-153. PubMed ID: 30119849
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
Chatterjee S; Dey D; Munshi S
Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
[TBL] [Abstract][Full Text] [Related]
7. Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare.
Maqsood S; Damaševičius R
Neural Netw; 2023 Mar; 160():238-258. PubMed ID: 36701878
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images.
Iqbal I; Younus M; Walayat K; Kakar MU; Ma J
Comput Med Imaging Graph; 2021 Mar; 88():101843. PubMed ID: 33445062
[TBL] [Abstract][Full Text] [Related]
13. Melanoma detection by analysis of clinical images using convolutional neural network.
Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Jafari MH; Ward K; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1373-1376. PubMed ID: 28268581
[TBL] [Abstract][Full Text] [Related]
14. Computational Intelligence-Based Melanoma Detection and Classification Using Dermoscopic Images.
Vaiyapuri T; Balaji P; S S; Alaskar H; Sbai Z
Comput Intell Neurosci; 2022; 2022():2370190. PubMed ID: 35685142
[TBL] [Abstract][Full Text] [Related]
15. Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
Kaur R; GholamHosseini H; Sinha R; Lindén M
BMC Med Imaging; 2022 May; 22(1):103. PubMed ID: 35644612
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. Skin lesion image segmentation using Delaunay Triangulation for melanoma detection.
Pennisi A; Bloisi DD; Nardi D; Giampetruzzi AR; Mondino C; Facchiano A
Comput Med Imaging Graph; 2016 Sep; 52():89-103. PubMed ID: 27215953
[TBL] [Abstract][Full Text] [Related]
20. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
Yu Z; Jiang X; Zhou F; Qin J; Ni D; Chen S; Lei B; Wang T
IEEE Trans Biomed Eng; 2019 Apr; 66(4):1006-1016. PubMed ID: 30130171
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
