Zobrazeno 1 - 10
of 1 499
pro vyhledávání: '"Stablein A"'
Autor:
Yan, Siyuan, Liu, Chi, Yu, Zhen, Ju, Lie, Mahapatra, Dwarikanath, Betz-Stablein, Brigid, Mar, Victoria, Janda, Monika, Soyer, Peter, Ge, Zongyuan
Deep learning models for medical image analysis easily suffer from distribution shifts caused by dataset artifacts bias, camera variations, differences in the imaging station, etc., leading to unreliable diagnoses in real-world clinical settings. Dom
Externí odkaz:
http://arxiv.org/abs/2401.03002
Autor:
Mehta, Deval, Betz-Stablein, Brigid, Nguyen, Toan D, Gal, Yaniv, Bowling, Adrian, Haskett, Martin, Sashindranath, Maithili, Bonnington, Paul, Mar, Victoria, Soyer, H Peter, Ge, Zongyuan
The surge in developing deep learning models for diagnosing skin lesions through image analysis is notable, yet their clinical black faces challenges. Current dermatology AI models have limitations: limited number of possible diagnostic outputs, lack
Externí odkaz:
http://arxiv.org/abs/2311.01009
Autor:
Naranpanawa, Nathasha, Soyer, H. Peter, Mothershaw, Adam, Kulatilleke, Gayan K., Ge, Zongyuan, Betz-Stablein, Brigid, Chandra, Shekhar S.
An ugly duckling is an obviously different skin lesion from surrounding lesions of an individual, and the ugly duckling sign is a criterion used to aid in the diagnosis of cutaneous melanoma by differentiating between highly suspicious and benign les
Externí odkaz:
http://arxiv.org/abs/2309.09689
Autor:
Zegair, Fatima Al, Naranpanawa, Nathasha, Betz-Stablein, Brigid, Janda, Monika, Soyer, H. Peter, Chandra, Shekhar S.
Skin lesions known as naevi exhibit diverse characteristics such as size, shape, and colouration. The concept of an "Ugly Duckling Naevus" comes into play when monitoring for melanoma, referring to a lesion with distinctive features that sets it apar
Externí odkaz:
http://arxiv.org/abs/2309.00265
Autor:
Nicholas R. Kurtansky, Brian M. D’Alessandro, Maura C. Gillis, Brigid Betz-Stablein, Sara E. Cerminara, Rafael Garcia, Marcela Alves Girundi, Elisabeth Victoria Goessinger, Philippe Gottfrois, Pascale Guitera, Allan C. Halpern, Valerie Jakrot, Harald Kittler, Kivanc Kose, Konstantinos Liopyris, Josep Malvehy, Victoria J. Mar, Linda K. Martin, Thomas Mathew, Lara Valeska Maul, Adam Mothershaw, Alina M. Mueller, Christoph Mueller, Alexander A. Navarini, Tarlia Rajeswaran, Vin Rajeswaran, Anup Saha, Maithili Sashindranath, Laura Serra-García, H. Peter Soyer, Georgios Theocharis, Ayesha Vos, Jochen Weber, Veronica Rotemberg
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and
Externí odkaz:
https://doaj.org/article/5622b491e13d4ffc9f4616a4f3f518b9
Publikováno v:
In The Journal of Pediatrics June 2024 269
Autor:
Clare A. Primiero, Brigid Betz-Stablein, Nathan Ascott, Brian D’Alessandro, Seraphin Gaborit, Paul Fricker, Abigail Goldsteen, Sandra González-Villà, Katie Lee, Sana Nazari, Hang Nguyen, Valsamis Ntouskos, Frederik Pahde, Balázs E. Pataki, Josep Quintana, Susana Puig, Gisele G. Rezze, Rafael Garcia, H. Peter Soyer, Josep Malvehy
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionArtificial Intelligence (AI) has proven effective in classifying skin cancers using dermoscopy images. In experimental settings, algorithms have outperformed expert dermatologists in classifying melanoma and keratinocyte cancers. However,
Externí odkaz:
https://doaj.org/article/4562b5e511fb41b3853d0002896d5e82
Publikováno v:
International Journal of Personality Psychology, Vol 9, Pp 78-87 (2023)
Privacy concerns surrounding Internet and technology use are higher now than ever, yet, people continue to use the Internet and Internet-connected technologies to share information without coercion and often with recipients they do not have a relatio
Externí odkaz:
https://doaj.org/article/350d6cd7e5b549bd9105e929a410155e
Three‐dimensional multispectral facial imaging to monitor actinic damage treated with 5‐fluorouracil
Autor:
Joachim Torrano, Matt Hishon, Mitchell Robinson, Anthony Raphael, Jason Wu, Brigid Betz‐Stablein, Daisy Kopera, Hans Peter Soyer, Helmut Schaider
Publikováno v:
JEADV Clinical Practice, Vol 2, Iss 2, Pp 273-281 (2023)
Abstract Background Standardised therapeutic monitoring of field skin cancerisation is challenging. 5‐fluorouracil (5‐FU) is a common topical therapy for ultraviolet radiation (UV) and actinic keratosis (AK) but is often accompanied with adverse
Externí odkaz:
https://doaj.org/article/64ef50f2531848b2a1ecd73a4ae00d4b
Autor:
Rotemberg, Veronica, Kurtansky, Nicholas, Betz-Stablein, Brigid, Caffery, Liam, Chousakos, Emmanouil, Codella, Noel, Combalia, Marc, Dusza, Stephen, Guitera, Pascale, Gutman, David, Halpern, Allan, Kittler, Harald, Kose, Kivanc, Langer, Steve, Lioprys, Konstantinos, Malvehy, Josep, Musthaq, Shenara, Nanda, Jabpani, Reiter, Ofer, Shih, George, Stratigos, Alexander, Tschandl, Philipp, Weber, Jochen, Soyer, H. Peter
Prior skin image datasets have not addressed patient-level information obtained from multiple skin lesions from the same patient. Though artificial intelligence classification algorithms have achieved expert-level performance in controlled studies ex
Externí odkaz:
http://arxiv.org/abs/2008.07360