330 related articles for article (PubMed ID: 36037629)
1. An improved transformer network for skin cancer classification.
Xin C; Liu Z; Zhao K; Miao L; Ma Y; Zhu X; Zhou Q; Wang S; Li L; Yang F; Xu S; Chen H
Comput Biol Med; 2022 Oct; 149():105939. PubMed ID: 36037629
[TBL] [Abstract][Full Text] [Related]
2. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.
Brinker TJ; Hekler A; Enk AH; Klode J; Hauschild A; Berking C; Schilling B; Haferkamp S; Schadendorf D; Fröhling S; Utikal JS; von Kalle C;
Eur J Cancer; 2019 Apr; 111():148-154. PubMed ID: 30852421
[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. Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
Maron RC; Utikal JS; Hekler A; Hauschild A; Sattler E; Sondermann W; Haferkamp S; Schilling B; Heppt MV; Jansen P; Reinholz M; Franklin C; Schmitt L; Hartmann D; Krieghoff-Henning E; Schmitt M; Weichenthal M; von Kalle C; Fröhling S; Brinker TJ
J Med Internet Res; 2020 Sep; 22(9):e18091. PubMed ID: 32915161
[TBL] [Abstract][Full Text] [Related]
5. Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia M; Codella N; Rotemberg V; Carrera C; Dusza S; Gutman D; Helba B; Kittler H; Kurtansky NR; Liopyris K; Marchetti MA; Podlipnik S; Puig S; Rinner C; Tschandl P; Weber J; Halpern A; Malvehy J
Lancet Digit Health; 2022 May; 4(5):e330-e339. PubMed ID: 35461690
[TBL] [Abstract][Full Text] [Related]
6. [Application of a parallel branches network based on Transformer for skin melanoma segmentation].
Yi S; Zhang G; He J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Oct; 39(5):937-944. PubMed ID: 36310482
[TBL] [Abstract][Full Text] [Related]
7. Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System.
Himel GMS; Islam MM; Al-Aff KA; Karim SI; Sikder MKU
Int J Biomed Imaging; 2024; 2024():3022192. PubMed ID: 38344227
[TBL] [Abstract][Full Text] [Related]
8. SkinViT: A transformer based method for Melanoma and Nonmelanoma classification.
Khan S; Khan A
PLoS One; 2023; 18(12):e0295151. PubMed ID: 38150449
[TBL] [Abstract][Full Text] [Related]
9. 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]
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. Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population.
Wang SQ; Zhang XY; Liu J; Tao C; Zhu CY; Shu C; Xu T; Jin HZ
Chin Med J (Engl); 2020 Sep; 133(17):2027-2036. PubMed ID: 32826613
[TBL] [Abstract][Full Text] [Related]
12. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.
Maron RC; Weichenthal M; Utikal JS; Hekler A; Berking C; Hauschild A; Enk AH; Haferkamp S; Klode J; Schadendorf D; Jansen P; Holland-Letz T; Schilling B; von Kalle C; Fröhling S; Gaiser MR; Hartmann D; Gesierich A; Kähler KC; Wehkamp U; Karoglan A; Bär C; Brinker TJ;
Eur J Cancer; 2019 Sep; 119():57-65. PubMed ID: 31419752
[TBL] [Abstract][Full Text] [Related]
13. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
[TBL] [Abstract][Full Text] [Related]
14. Skin lesion classification using CNNs with grouping of multi-scale attention and class-specific loss weighting.
Qian S; Ren K; Zhang W; Ning H
Comput Methods Programs Biomed; 2022 Nov; 226():107166. PubMed ID: 36209623
[TBL] [Abstract][Full Text] [Related]
15. Deep neural networks are superior to dermatologists in melanoma image classification.
Brinker TJ; Hekler A; Enk AH; Berking C; Haferkamp S; Hauschild A; Weichenthal M; Klode J; Schadendorf D; Holland-Letz T; von Kalle C; Fröhling S; Schilling B; Utikal JS
Eur J Cancer; 2019 Sep; 119():11-17. PubMed ID: 31401469
[TBL] [Abstract][Full Text] [Related]
16. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
Alharthi AG; Alzahrani SM
Comput Biol Med; 2023 Dec; 167():107667. PubMed ID: 37939407
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
Haggenmüller S; Maron RC; Hekler A; Utikal JS; Barata C; Barnhill RL; Beltraminelli H; Berking C; Betz-Stablein B; Blum A; Braun SA; Carr R; Combalia M; Fernandez-Figueras MT; Ferrara G; Fraitag S; French LE; Gellrich FF; Ghoreschi K; Goebeler M; Guitera P; Haenssle HA; Haferkamp S; Heinzerling L; Heppt MV; Hilke FJ; Hobelsberger S; Krahl D; Kutzner H; Lallas A; Liopyris K; Llamas-Velasco M; Malvehy J; Meier F; Müller CSL; Navarini AA; Navarrete-Dechent C; Perasole A; Poch G; Podlipnik S; Requena L; Rotemberg VM; Saggini A; Sangueza OP; Santonja C; Schadendorf D; Schilling B; Schlaak M; Schlager JG; Sergon M; Sondermann W; Soyer HP; Starz H; Stolz W; Vale E; Weyers W; Zink A; Krieghoff-Henning E; Kather JN; von Kalle C; Lipka DB; Fröhling S; Hauschild A; Kittler H; Brinker TJ
Eur J Cancer; 2021 Oct; 156():202-216. PubMed ID: 34509059
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss.
Nie Y; Sommella P; Carratù M; O'Nils M; Lundgren J
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611363
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
