Detalhe da pesquisa
1.
Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer.
BJU Int
; 128(3): 352-360, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33706408
2.
Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study.
J Med Internet Res
; 23(3): e21695, 2021 03 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-33764307
3.
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.
J Med Internet Res
; 23(7): e20708, 2021 07 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34255646
4.
Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
J Med Internet Res
; 22(9): e18091, 2020 09 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-32915161
5.
Overdiagnosis of melanoma - causes, consequences and solutions.
J Dtsch Dermatol Ges
; 18(11): 1236-1243, 2020 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-32841508
6.
Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning.
J Am Acad Dermatol
; 90(5): 1028-1031, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38199280
7.
Patients' and dermatologists' preferences in artificial intelligence-driven skin cancer diagnostics: A prospective multicentric survey study.
J Am Acad Dermatol
; 2024 Apr 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-38670313
8.
Überdiagnose von Melanomen - Ursachen, Konsequenzen und Lösungsansätze.
J Dtsch Dermatol Ges
; 18(11): 1236-1244, 2020 Nov.
Artigo
em Alemão
| MEDLINE | ID: mdl-33251725
9.
Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics.
JAMA Dermatol
; 160(3): 303-311, 2024 Mar 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-38324293
10.
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation.
N Biotechnol
; 76: 106-117, 2023 Sep 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-37146681
11.
Explainable artificial intelligence in skin cancer recognition: A systematic review.
Eur J Cancer
; 167: 54-69, 2022 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-35390650
12.
Model soups improve performance of dermoscopic skin cancer classifiers.
Eur J Cancer
; 173: 307-316, 2022 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-35973360
13.
Robustness of convolutional neural networks in recognition of pigmented skin lesions.
Eur J Cancer
; 145: 81-91, 2021 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33423009
14.
A benchmark for neural network robustness in skin cancer classification.
Eur J Cancer
; 155: 191-199, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34388516
15.
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
Eur J Cancer
; 156: 202-216, 2021 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34509059
16.
Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective.
Front Med (Lausanne)
; 7: 233, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32671078
17.
Superior skin cancer classification by the combination of human and artificial intelligence.
Eur J Cancer
; 120: 114-121, 2019 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-31518967
18.
Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.
Eur J Cancer
; 119: 57-65, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31419752