208 related articles for article (PubMed ID: 37358994)
1. Classification of clinical skin lesions with double-branch networks.
Wang H; Qi Q; Sun W; Li X; Yao C
Front Med (Lausanne); 2023; 10():1114362. PubMed ID: 37358994
[TBL] [Abstract][Full Text] [Related]
2. MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning.
Teng S; Wang B; Yang F; Yi X; Zhang X; Sun Y
Comput Methods Programs Biomed; 2024 Aug; 253():108230. PubMed ID: 38810377
[TBL] [Abstract][Full Text] [Related]
3. Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions.
Serban ED; Farnetani F; Pellacani G; Constantin MM
Acta Dermatovenerol Croat; 2018 Apr; 26(1):64-67. PubMed ID: 29782304
[TBL] [Abstract][Full Text] [Related]
4. Teledermatology for diagnosing skin cancer in adults.
Chuchu N; Dinnes J; Takwoingi Y; Matin RN; Bayliss SE; Davenport C; Moreau JF; Bassett O; Godfrey K; O'Sullivan C; Walter FM; Motley R; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013193. PubMed ID: 30521686
[TBL] [Abstract][Full Text] [Related]
5. DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Huang H; Xie Y; Wang G; Zhang L; Zhou W
Comput Methods Programs Biomed; 2022 Dec; 227():107201. PubMed ID: 36335751
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases in a Clinical Environment.
Zhu CY; Wang YK; Chen HP; Gao KL; Shu C; Wang JC; Yan LF; Yang YG; Xie FY; Liu J
Front Med (Lausanne); 2021; 8():626369. PubMed ID: 33937279
[No Abstract] [Full Text] [Related]
8. Fusing fine-tuned deep features for skin lesion classification.
Mahbod A; Schaefer G; Ellinger I; Ecker R; Pitiot A; Wang C
Comput Med Imaging Graph; 2019 Jan; 71():19-29. PubMed ID: 30458354
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. CR-Conformer: a fusion network for clinical skin lesion classification.
Zhang D; Li A; Wu W; Yu L; Kang X; Huo X
Med Biol Eng Comput; 2024 Jan; 62(1):85-94. PubMed ID: 37653185
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification.
Dong C; Dai D; Zhang Y; Zhang C; Li Z; Xu S
Comput Biol Med; 2023 Jan; 152():106321. PubMed ID: 36463792
[TBL] [Abstract][Full Text] [Related]
13. Exfoliative cytology for diagnosing basal cell carcinoma and other skin cancers in adults.
Ferrante di Ruffano L; Dinnes J; Chuchu N; Bayliss SE; Takwoingi Y; Davenport C; Matin RN; O'Sullivan C; Roskell D; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013187. PubMed ID: 30521689
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network.
Azeem M; Kiani K; Mansouri T; Topping N
Cancers (Basel); 2023 Dec; 16(1):. PubMed ID: 38201535
[TBL] [Abstract][Full Text] [Related]
16. Deep attention branch networks for skin lesion classification.
Ding S; Wu Z; Zheng Y; Liu Z; Yang X; Yang X; Yuan G; Xie J
Comput Methods Programs Biomed; 2021 Nov; 212():106447. PubMed ID: 34678529
[TBL] [Abstract][Full Text] [Related]
17. MBNM: Multi-branch network based on memory features for long-tailed medical image recognition.
Zhang R; E H; Yuan L; He J; Zhang H; Zhang S; Wang Y; Song M; Wang L
Comput Methods Programs Biomed; 2021 Nov; 212():106448. PubMed ID: 34670168
[TBL] [Abstract][Full Text] [Related]
18. A GAN-based image synthesis method for skin lesion classification.
Qin Z; Liu Z; Zhu P; Xue Y
Comput Methods Programs Biomed; 2020 Oct; 195():105568. PubMed ID: 32526536
[TBL] [Abstract][Full Text] [Related]
19. Skin lesion segmentation using high-resolution convolutional neural network.
Xie F; Yang J; Liu J; Jiang Z; Zheng Y; Wang Y
Comput Methods Programs Biomed; 2020 Apr; 186():105241. PubMed ID: 31837637
[TBL] [Abstract][Full Text] [Related]
20. Saliency map-guided hierarchical dense feature aggregation framework for breast lesion classification using ultrasound image.
Di X; Zhong S; Zhang Y
Comput Methods Programs Biomed; 2022 Mar; 215():106612. PubMed ID: 35033757
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
