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View article: Automated triage of cancer-suspicious skin lesions with 3D total-body photography
Automated triage of cancer-suspicious skin lesions with 3D total-body photography Open
View article: Skin region images extracted from 3D total body photographs for lesion detection
Skin region images extracted from 3D total body photographs for lesion detection Open
Artificial intelligence has significantly advanced skin cancer diagnosis by enabling rapid and accurate detection of malignant lesions. In this domain, most publicly available image datasets consist of single, isolated skin lesions positio…
View article: The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection
The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection Open
Artificial intelligence has significantly advanced skin cancer diagnosis by enabling rapid and accurate detection of malignant lesions. In this domain, most publicly available image datasets consist of single, isolated skin lesions positio…
View article: Clinical Outcomes of 3d-Total Body Photography and Digital Dermoscopy for Surveillance of High-Risk Melanoma Patients. A Prospective Longitudinal Observational Study
Clinical Outcomes of 3d-Total Body Photography and Digital Dermoscopy for Surveillance of High-Risk Melanoma Patients. A Prospective Longitudinal Observational Study Open
View article: Deep Phenotyping with 3D Total Body Photography and Artificial Intelligence for Patients at High Risk of Developing Melanoma
Deep Phenotyping with 3D Total Body Photography and Artificial Intelligence for Patients at High Risk of Developing Melanoma Open
View article: The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection
The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection Open
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, a…
View article: A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification
A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification Open
Introduction Artificial 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 cance…
View article: Validating the Reliability and Clinical Relevance of an Infraorbital Hollow Photonumeric Scale
Validating the Reliability and Clinical Relevance of an Infraorbital Hollow Photonumeric Scale Open
Background Infraorbital hollowing is a facial aesthetic issue for which a broad age range of patients seek treatment. Expanding treatment options for this region warrants the development of validated tools to objectively assess infraorbita…
View article: Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks
Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks Open
Background: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has been shown to …
View article: Supplementary Material for: Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks
Supplementary Material for: Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks Open
Background: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has …
View article: Machine Learning for Temporal Data in Finance: Challenges and\n Opportunities
Machine Learning for Temporal Data in Finance: Challenges and\n Opportunities Open
Temporal data are ubiquitous in the financial services (FS) industry --\ntraditional data like economic indicators, operational data such as bank\naccount transactions, and modern data sources like website clickstreams -- all\nof these occ…
View article: Machine Learning for Temporal Data in Finance: Challenges and Opportunities
Machine Learning for Temporal Data in Finance: Challenges and Opportunities Open
Temporal data are ubiquitous in the financial services (FS) industry -- traditional data like economic indicators, operational data such as bank account transactions, and modern data sources like website clickstreams -- all of these occur …
View article: Explaining Classification Models Built on High-Dimensional Sparse Data
Explaining Classification Models Built on High-Dimensional Sparse Data Open
Predictive modeling applications increasingly use data representing people's behavior, opinions, and interactions. Fine-grained behavior data often has different structure from traditional data, being very high-dimensional and sparse. Mode…
View article: Explaining Classification Models Built on High-Dimensional Sparse Data
Explaining Classification Models Built on High-Dimensional Sparse Data Open
Predictive modeling applications increasingly use data representing people's behavior, opinions, and interactions. Fine-grained behavior data often has different structure from traditional data, being very high-dimensional and sparse. Mode…
View article: Effects of intrinsic aging and photodamage on skin dyspigmentation: an explorative study
Effects of intrinsic aging and photodamage on skin dyspigmentation: an explorative study Open
Photoaging is associated with increasing pigmentary heterogeneity and darkening of skin color. However, little is known about age-related changes in skin pigmentation on sun-protected areas. The aim of this explorative study was to measure…
View article: Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies Open
Online systems promise to improve advertisement targeting via the massive and detailed data available. However, there often is too few data on exactly the outcome of interest, such as purchases, for accurate campaign evaluation and optimiz…