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Background And Objectives: Advanced artificial intelligence and machine learning have great potential to redefine how skin lesions are detected, mapped, tracked and documented. Here, we propose a 3D whole-body imaging system known as 3DSkin-mapper to enable automated detection, evaluation and mapping of skin lesions.
Methods: A modular camera rig arranged in a cylindrical configuration was designed to automatically capture images of the entire skin surface of a subject synchronously from multiple angles. Based on the images, we developed algorithms for 3D model reconstruction, data processing and skin lesion detection and tracking based on deep convolutional neural networks. We also introduced a customised, user-friendly, and adaptable interface that enables individuals to interactively visualise, manipulate, and annotate the images. The interface includes built-in features such as mapping 2D skin lesions onto the corresponding 3D model.
Results: The proposed system is developed for skin lesion screening, the focus of this paper is to introduce the system instead of clinical study. Using synthetic and real images we demonstrate the effectiveness of the proposed system by providing multiple views of a target skin lesion, enabling further 3D geometry analysis and longitudinal tracking. Skin lesions are identified as outliers which deserve more attention from a skin cancer physician. Our detector leverages expert annotated labels to learn representations of skin lesions, while capturing the effects of anatomical variability. It takes only a few seconds to capture the entire skin surface, and about half an hour to process and analyse the images.
Conclusions: Our experiments show that the proposed system allows fast and easy whole body 3D imaging. It can be used by dermatological clinics to conduct skin screening, detect and track skin lesions over time, identify suspicious lesions, and document pigmented lesions. The system can potentially save clinicians time and effort significantly. The 3D imaging and analysis has the potential to change the paradigm of whole body photography with many applications in skin diseases, including inflammatory and pigmentary disorders. With reduced time requirements for recording and documenting high-quality skin information, doctors could spend more time providing better-quality treatment based on more detailed and accurate information.
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http://dx.doi.org/10.1016/j.cmpb.2023.107451 | DOI Listing |
Ned Tijdschr Geneeskd
September 2025
Amsterdam UMC, Nederlands Instituut voor Pigmentstoornissen (SNIP), Amsterdam.
Vitiligo is a chronic skin disease characterized by white patches caused by the destruction of melanocytes. The most well-known variant is non-segmental vitiligo, where patches are symmetrically distributed across the entire body, with alternating periods of stability and progression. The white patches arise due to an autoimmune reaction in which cytotoxic T-cells attack the melanocytes.
View Article and Find Full Text PDFInt J Gen Med
September 2025
Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Background: Nodular hidradenoma (NH) is a rare benign adnexal tumor originating from sweat glands, often misdiagnosed due to nonspecific clinical manifestations. Ultrasonography (US) plays a critical role in the diagnosis of skin tumors, yet systematic descriptions of its sonographic features remain limited.
Objective: This study aims to investigate the very-high-frequency (VHF) characteristics of eccrine nodular hidradenoma (ENH) and establish key imaging criteria to differentiate it from other cutaneous/subcutaneous lesions.
Curr Fungal Infect Rep
April 2025
Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, USA.
Purpose Of Review: This review summarizes current literature about the disability burden of the fungal neglected tropical diseases (NTDs) sporotrichosis, chromoblastomycosis, eumycetoma, and paracoccidioidomycosis. The review highlights current knowledge gaps in global settings and describes available tools that could be adopted to fill these gaps.
Recent Findings: Sporotrichosis, chromoblastomycosis, and eumycetoma often present initially as skin lesions that can become progressively disfiguring, lead to stigmatization, and cause various sequalae affecting health and function.
J Biomed Opt
September 2025
Leibniz University Hannover, Hannover Centre for Optical Technologies, Hannover, Germany.
Significance: Melanoma's rising incidence demands automatable high-throughput approaches for early detection such as total body scanners, integrated with computer-aided diagnosis. High-quality input data is necessary to improve diagnostic accuracy and reliability.
Aim: This work aims to develop a high-resolution optical skin imaging module and the software for acquiring and processing raw image data into high-resolution dermoscopic images using a focus stacking approach.
J Surg Case Rep
September 2025
Department of Dermatology and Sexually Transmitted Disease, Tishreen University Hospital, Lattakia 041, Syria.
Hepatoid adenocarcinoma of the lung (HAL) is a rare and aggressive subtype of pulmonary adenocarcinoma, with cutaneous metastasis being an uncommon clinical manifestation. A 49-year-old male presented with a painful, nodular skin lesion on the upper back. Histopathological examination confirmed it as a cutaneous metastasis of HAL.
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