242 related articles for article (PubMed ID: 33610692)
1. A hierarchical three-step superpixels and deep learning framework for skin lesion classification.
Afza F; Sharif M; Mittal M; Khan MA; Jude Hemanth D
Methods; 2022 Jun; 202():88-102. PubMed ID: 33610692
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. Refining skin lesions classification performance using geometric features of superpixels.
Moldovanu S; Miron M; Rusu CG; Biswas KC; Moraru L
Sci Rep; 2023 Jul; 13(1):11463. PubMed ID: 37454166
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things.
Akram A; Rashid J; Jaffar MA; Faheem M; Amin RU
Skin Res Technol; 2023 Nov; 29(11):e13524. PubMed ID: 38009016
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.
Ashraf H; Waris A; Ghafoor MF; Gilani SO; Niazi IK
Sci Rep; 2022 Mar; 12(1):3948. PubMed ID: 35273282
[TBL] [Abstract][Full Text] [Related]
12. Detection and diagnosis of melanoma skin cancers in dermoscopic images using pipelined internal module architecture (PIMA) method.
Bharathi G; Malleswaran M; Muthupriya V
Microsc Res Tech; 2023 Jun; 86(6):701-713. PubMed ID: 36860140
[TBL] [Abstract][Full Text] [Related]
13. On the Automatic Detection and Classification of Skin Cancer Using Deep Transfer Learning.
Fraiwan M; Faouri E
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808463
[TBL] [Abstract][Full Text] [Related]
14. SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.
Naeem A; Anees T; Fiza M; Naqvi RA; Lee SW
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957209
[TBL] [Abstract][Full Text] [Related]
15. Automatic lesion border selection in dermoscopy images using morphology and color features.
Mishra NK; Kaur R; Kasmi R; Hagerty JR; LeAnder R; Stanley RJ; Moss RH; Stoecker WV
Skin Res Technol; 2019 Jul; 25(4):544-552. PubMed ID: 30868667
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion.
Khan MA; Akram T; Sharif M; Saba T; Javed K; Lali IU; Tanik UJ; Rehman A
Microsc Res Tech; 2019 Jun; 82(6):741-763. PubMed ID: 30768826
[TBL] [Abstract][Full Text] [Related]
19. A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification.
Thapar P; Rakhra M; Cazzato G; Hossain MS
J Healthc Eng; 2022; 2022():1709842. PubMed ID: 35480147
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
