April 2026 in “Scientific Reports” The study introduces MSF-VMDNet, a novel deep learning model designed for multi-class segmentation of skin cancer whole-slide images, addressing the complexity of differentiating 10 distinct tissue classes. This model combines U-Net and Vision Mamba dual encoders to enhance feature extraction and segmentation accuracy. The U-Net encoder uses an improved AFNO spectral decomposition module for high-resolution semantic information, while the Vision Mamba encoder optimizes long-range dependency modeling. The SCConv module fuses features from various frequency domains and spatial levels. MSF-VMDNet outperforms existing methods, achieving an MIoU of 95.37% and a Dice coefficient of 95.11%, and demonstrates strong generalization across multiple datasets.
1 citations
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January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
1 citations
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May 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Ulcerative colitis involves immune activation, chronic inflammation, and metabolic issues, some of which persist even during remission.
November 2024 in “Image Analysis & Stereology” The method improves hair image segmentation accuracy while reducing annotation costs.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
November 2021 in “Chattagram Maa-O-Shishu Hospital Medical College Journal” Most patients with Cutaneous Lupus Erythematosus are young females, and dermatologists play a key role in diagnosis.
27 citations
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February 2009 in “Autoimmunity Reviews” The European Society of Cutaneous Lupus Erythematosus created a questionnaire to standardize patient assessment and improve care for cutaneous lupus.
5 citations
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January 2025 in “Burns & Trauma” Machine learning and single-cell analysis improve understanding and treatment of wound healing.
3 citations
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September 2024 in “International Journal of Molecular Sciences” Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
January 2021 in “arXiv (Cornell University)” Self-supervised learning improves medical image classification accuracy.
61 citations
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June 2022 in “IEEE Journal of Biomedical and Health Informatics” The new method improves skin cancer detection in imbalanced datasets.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
2 citations
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September 2024 in “Diagnostics” A new method accurately measures cell changes in breast cancer.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
1 citations
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October 2025 in “Nature Communications” Cell size controls when stem cells divide.
5 citations
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June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
April 2021 in “Journal of Investigative Dermatology” Leontopodium alpinum extract may help reduce hair shedding by keeping hair in the growth phase longer.
8 citations
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April 2015 in “Advances in Psychosomatic Medicine” Psychotropic medications can cause skin problems but also treat some skin conditions.
1 citations
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January 2022 in “Advances in Dermatology and Allergology” Most patients with cutaneous lupus erythematosus in Bangladesh are young women, with chronic forms and photosensitivity being common.
234 citations
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April 2000 in “Gene” Msx and Dlx genes are crucial for development, controlling cell behaviors like growth and differentiation through their roles as gene regulators.
2 citations
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
1 citations
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February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
October 2023 in “Biomedical science and engineering” Innovative methods are reducing animal testing and improving biomedical research.
19 citations
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April 2015 in “Developmental Dynamics” The conclusion is that skin and hair patterns are formed by a mix of cell activities, molecular signals, and environmental factors.
34 citations
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August 2002 in “British Journal of Dermatology” ALA-PDT is effective and safe for chronic X-ray dermatitis, providing complete or partial remission.
24 citations
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October 2017 in “Biomolecules” Some growth factors, while important for normal body functions, can cause diseases when not regulated properly.
23 citations
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April 2018 in “Journal der Deutschen Dermatologischen Gesellschaft” Permanent hair loss from cicatricial alopecia is treated by reducing inflammation and managing symptoms, but regrowth in scarred areas is unlikely.
17 citations
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January 2011 in “The Korean Journal of Hepatology” Vogt-Koyanagi-Harada disease can develop during interferon therapy for chronic hepatitis C.
1 citations
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January 2023 in “International journal of all research education and scientific methods” Hair analysis is better than urine and blood for detecting past drug use.