Single-cell transcriptome analysis of human skin identifies novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitis

H He, H Suryawanshi, P Morozov… - Journal of Allergy and …, 2020 - Elsevier
… AD lesions were characterized by expanded type 2/type 22 T cells and inflammatory DCs,
and by a unique inflammatory fibroblast that may interact with immune cells to regulate …

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

A Adegun, S Viriri - Artificial Intelligence Review, 2021 - Springer
skin lesion images. Third, we make comparative analysis of the state-of-the-arts. Fourth we
… classification techniques for classifying skin lesions into different classes of skin cancer. We …

[HTML][HTML] Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models

M Alshahrani, M Al-Jabbar, EM Senan, IA Ahmed… - Plos one, 2024 - journals.plos.org
… In this study, employed two strategies for the analysis and diagnosis of skin lesions of
dermoscopy images from the ISIC2019 dataset. These strategies involve the integration of features …

Computational methods for pigmented skin lesion classification in images: review and future trends

RB Oliveira, JP Papa, AS Pereira… - Neural Computing and …, 2018 - Springer
… proposed for pattern analysis and pigmented skin lesion classification is addressed …
characterization of different region of the lesion. Bag-of-feature (BoF) approach is a simple strategy

Functional evaluation of peripheral nerve regeneration and target reinnervation in animal models: a critical overview

X Navarro - European Journal of Neuroscience, 2016 - Wiley Online Library
… After a nerve lesion, functional recovery can be achieved if the … Functional analysis offers
the most unequivocal way to … sensory function in the skin after nerve injury and regeneration. …

Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance

Y Yuan, M Chao, YC Lo - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
… for skin lesion analysisstrategies to ensure effective and efficient learning with limited
training data. Secondly, we design an appropriate loss function that naturally handles the lesion-…

Quantitative sensory testing to characterize sensory changes in hidradenitis suppurativa skin lesions

A Alsouhibani, P Speck, EF Cole, DE Mustin… - JAMA …, 2023 - jamanetwork.com
… pain management strategies. … normal skin by directly comparing HS lesion and control
log-transformed testing values in our patient sample using paired-samples t tests. Finally, analysis

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation

H Wu, S Chen, G Chen, W Wang, B Lei, Z Wen - Medical image analysis, 2022 - Elsevier
… , the blurred lesion boundaries between the skin lesions and … method on four public skin
lesion segmentation datasets, … and memory-efficient strategies. Comparisons with state-of-…

[HTML][HTML] Skin lesion analysis towards melanoma detection using deep learning network

Y Li, L Shen - Sensors, 2018 - mdpi.com
… Based on FCRN-88, we construct a Lesion Indexing Network (LIN) for skin lesion image
analysis. The flowchart of LIN is presented in Figure 3. Two FCRNs trained with datasets using …

[HTML][HTML] Hidradenitis suppurativa is characterized by dysregulation of the Th17: Treg cell axis, which is corrected by anti-TNF therapy

B Moran, CM Sweeney, R Hughes, A Malara… - Journal of Investigative …, 2017 - Elsevier
… Although IL-17 has been shown to be elevated in HS lesions … a detailed analysis of T cells
from HS patient skin and blood that … The gating strategy used for cytokine analysis is shown in …