141 related articles for article (PubMed ID: 34745503)
21. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. Association between different scale bars in dermoscopic images and diagnostic performance of a market-approved deep learning convolutional neural network for melanoma recognition.
Winkler JK; Sies K; Fink C; Toberer F; Enk A; Abassi MS; Fuchs T; Haenssle HA
Eur J Cancer; 2021 Mar; 145():146-154. PubMed ID: 33465706
[TBL] [Abstract][Full Text] [Related]
25. Deep learning can predict lymph node status directly from histology in colorectal cancer.
Kiehl L; Kuntz S; Höhn J; Jutzi T; Krieghoff-Henning E; Kather JN; Holland-Letz T; Kopp-Schneider A; Chang-Claude J; Brobeil A; von Kalle C; Fröhling S; Alwers E; Brenner H; Hoffmeister M; Brinker TJ
Eur J Cancer; 2021 Nov; 157():464-473. PubMed ID: 34649117
[TBL] [Abstract][Full Text] [Related]
26. Diagnostic assessment of deep learning for melanocytic lesions using whole-slide pathological images.
Ba W; Wang R; Yin G; Song Z; Zou J; Zhong C; Yang J; Yu G; Yang H; Zhang L; Li C
Transl Oncol; 2021 Sep; 14(9):101161. PubMed ID: 34192650
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. [Identifying Molecular Subtypes of Whole-Slide Image in Colorectal Cancer via Deep Learning].
Liao J; Feng XB; Wang YH; Guo LC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):686-692. PubMed ID: 34323050
[TBL] [Abstract][Full Text] [Related]
29. Pathologist-level classification of histopathological melanoma images with deep neural networks.
Hekler A; Utikal JS; Enk AH; Berking C; Klode J; Schadendorf D; Jansen P; Franklin C; Holland-Letz T; Krahl D; von Kalle C; Fröhling S; Brinker TJ
Eur J Cancer; 2019 Jul; 115():79-83. PubMed ID: 31129383
[TBL] [Abstract][Full Text] [Related]
30. [Deep learning-based fully automated intelligent and precise diagnosis for melanocytic lesions].
Shi T; Zhang J; Bao Y; Gao X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Oct; 39(5):919-927. PubMed ID: 36310480
[TBL] [Abstract][Full Text] [Related]
31. Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions.
Foahom Gouabou AC; Collenne J; Monnier J; Iguernaissi R; Damoiseaux JL; Moudafi A; Merad D
Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430315
[TBL] [Abstract][Full Text] [Related]
32. Deep learning model for tongue cancer diagnosis using endoscopic images.
Heo J; Lim JH; Lee HR; Jang JY; Shin YS; Kim D; Lim JY; Park YM; Koh YW; Ahn SH; Chung EJ; Lee DY; Seok J; Kim CH
Sci Rep; 2022 Apr; 12(1):6281. PubMed ID: 35428854
[TBL] [Abstract][Full Text] [Related]
33. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer.
Ho C; Zhao Z; Chen XF; Sauer J; Saraf SA; Jialdasani R; Taghipour K; Sathe A; Khor LY; Lim KH; Leow WQ
Sci Rep; 2022 Feb; 12(1):2222. PubMed ID: 35140318
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. 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]
36. 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]
37. Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.
Hekler A; Utikal JS; Enk AH; Solass W; Schmitt M; Klode J; Schadendorf D; Sondermann W; Franklin C; Bestvater F; Flaig MJ; Krahl D; von Kalle C; Fröhling S; Brinker TJ
Eur J Cancer; 2019 Sep; 118():91-96. PubMed ID: 31325876
[TBL] [Abstract][Full Text] [Related]
38. AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function.
Pham TC; Luong CM; Hoang VD; Doucet A
Sci Rep; 2021 Sep; 11(1):17485. PubMed ID: 34471174
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients.
Comes MC; Fucci L; Mele F; Bove S; Cristofaro C; De Risi I; Fanizzi A; Milella M; Strippoli S; Zito A; Guida M; Massafra R
Sci Rep; 2022 Nov; 12(1):20366. PubMed ID: 36437296
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
