Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31488 - e31488

Published: May 1, 2024

Skin cancer is a pervasive and potentially life-threatening disease. Early detection plays crucial role in improving patient outcomes. Machine learning (ML) techniques, particularly when combined with pre-trained deep models, have shown promise enhancing the accuracy of skin detection. In this paper, we enhanced VGG19 model max pooling dense layer for prediction cancer. Moreover, also explored models such as Visual Geometry Group 19 (VGG19), Residual Network 152 version 2 (ResNet152v2), Inception-Residual (InceptionResNetV2), Dense Convolutional 201 (DenseNet201), 50 (ResNet50), Inception 3 (InceptionV3), For training, lesions dataset used malignant benign cases. The extract features divide into two categories: benign. are then fed machine methods, including Linear Support Vector (SVM), k-Nearest Neighbors (KNN), Decision Tree (DT), Logistic Regression (LR) our results demonstrate that combining E-VGG19 traditional classifiers significantly improves overall classification classification. compared performance baseline metrics (recall, F1 score, precision, sensitivity, accuracy). experiment provide valuable insights effectiveness various accurate efficient This research contributes to ongoing efforts create automated technologies detecting can help healthcare professionals individuals identify potential cases at an early stage, ultimately leading more timely effective treatments.

Language: Английский

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Cordyceps militaris-Derived Bioactive Gels: Therapeutic and Anti-Aging Applications in Dermatology

Gels, Journal Year: 2025, Volume and Issue: 11(1), P. 33 - 33

Published: Jan. 3, 2025

Cordyceps militaris is a medicinal mushroom widely utilized in traditional East Asian medicine, recognized for its diverse therapeutic properties. This review explores the potential of C. militaris-derived bioactive gels applications dermatology and skincare, with particular focus on their anti-aging benefits. In response to rising incidence skin cancers growing demand natural ingredients, has emerged as valuable source functional compounds, including cordycepin, polysaccharides, adenosine. These compounds exhibit multiple bioactivities, apoptosis induction, cell cycle arrest, anti-inflammatory effects, which have been shown be particularly effective against melanoma other cancers. Additionally, antioxidant properties enhance resilience by scavenging reactive oxygen species, reducing oxidative stress, promoting collagen synthesis, thereby addressing health requirements. The incorporating into gel-based formulations skincare also examined, either standalone bioactives or combination synergistic ingredients. Emphasis placed necessity clinical trials standardization establish safety, efficacy, reproducibility such applications. By providing safer alternative synthetic agents, represent promising advancement skincare.

Language: Английский

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The Multifaceted Role of 3D Printed Conducting Polymers in Next-Generation Energy Devices: A Critical Perspective

JACS Au, Journal Year: 2025, Volume and Issue: 5(2), P. 411 - 425

Published: Jan. 22, 2025

The increasing human population is leading to growing consumption of energy sources which requires development in devices. modern iterations these devices fail offer sustainable and environmentally friendly answers since they require costly equipment produce a lot waste. Three-dimensional (3D) printing has spurred incredible innovation over the years variety fields clearly an attractive option because technology can create unique geometric items quickly, cheaply, with little Conducting polymers (CPs) are significant family functional materials that have garnered interest research community their high conductivity, outstanding sustainability, economic significance. They extensive number applications involving supercapacitors, power sources, electrochromic gadgets, electrostatic components, conducting pastes, sensors, biological thanks special physical electrical attributes, ease synthesis, appropriate frameworks for attachment. use three-dimensional become popular as exact way enhance prepared networks. Rapid technological advancements reproducing patterns building structures enable automated deposition intricate structures. Different composites been created using oxides metals carbon improve efficiency CPs. Such actively investigated exceptional producers low-power electronic techniques, by range applications, verified surface area, remarkable electrochemical behavior. hybridization such produced equipment, gathering energy, protective storage facilities. A few possible uses CPs sensors discussed this perspective. We also provide overview key strategies scientific industrial eye on potential improvements future.

Language: Английский

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A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 92, P. 106084 - 106084

Published: Feb. 14, 2024

Language: Английский

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Liquid Biopsy in Cancer Management: Integrating Diagnostics and Clinical Applications

Practical Laboratory Medicine, Journal Year: 2024, Volume and Issue: unknown, P. e00446 - e00446

Published: Dec. 1, 2024

Liquid biopsy is an innovative, minimally invasive diagnostic tool revolutionizing cancer management by enabling the detection and analysis of cancer-related biomarkers from bodily fluids such as blood, urine, or cerebrospinal fluid. Unlike traditional tissue biopsies, which require procedures, liquid offers a more accessible repeatable method for tracking progression, detecting early-stage cancers, monitoring therapeutic responses. The technology primarily focuses on analyzing circulating tumor cells (CTCs), DNA (ctDNA), other cancer-derived genetic materials. These provide critical information heterogeneity, mutation profiles, potential drug resistance. In clinical practice, has demonstrated its utility in identifying actionable mutations, guiding personalized treatment strategies, assessing minimal residual disease (MRD). While holds immense promise, challenges related to sensitivity, specificity, standardization remain. Efforts optimize pre-analytical analytical processes, along with establishment robust regulatory frameworks, are crucial widespread adoption. This abstract highlights transformative diagnosis, prognosis, monitoring, emphasizing role advancing oncology. Further research, trials, harmonization will be vital realizing full precision care.

Language: Английский

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Nichtinvasive Infrarot‐Thermografie für Screening, Diagnose und Monitoring von Hautkrebs

JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal Year: 2025, Volume and Issue: 23(1), P. 7 - 18

Published: Jan. 1, 2025

Zusammenfassung Die Inzidenzen für Hautkrebs steigen kontinuierlich. Der Zeitpunkt der Diagnose ist entscheidend das Morbiditäts‐ und Mortalitätsrisiko Patienten. Ein optimales Screening‐Verfahren muss noch etabliert werden. Berührungslose bildgebende Verfahren sind von höchstem Interesse, jedoch den großflächigen Einsatz nicht ausreichend entwickelt untersucht. Infrarot‐Thermografie bietet gegenüber digitaler Fotografie die zusätzliche Information Wärmeabstrahlung Hautoberfläche, diese korreliert stark mit malignen Veränderungen. Literatur zum aktuellen wissenschaftlichen Stand Screening, Monitoring mittels thermografischer wurde in PubMed, Embase Google Scholar identifiziert. Vom technischen informationstechnologischen Standpunkt gesehen sehr gute Voraussetzungen als nichtinvasives, kostengünstiges, zeitsparendes einfach zu handhabendes Screening‐Instrument. Allerdings fehlt belastbare Evidenz praktische Umsetzung massentaugliche 3D‐Systeme. dahingehende Forschung sollte intensiviert werden, um anwendbare Systeme entwickeln, im großen Stil testen etablieren.

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Melanoma Skin Cancer Recognition with a Convolutional Neural Network and Feature Dimensions Reduction with Aquila Optimizer

Diagnostics, Journal Year: 2025, Volume and Issue: 15(6), P. 761 - 761

Published: March 18, 2025

Background: Melanoma is a highly aggressive form of skin cancer, necessitating early and accurate detection for effective treatment. This study aims to develop novel classification system melanoma that integrates Convolutional Neural Networks (CNNs) feature extraction the Aquila Optimizer (AO) dimension reduction, improving both computational efficiency accuracy. Methods: The proposed method utilized CNNs extract features from images, while AO was employed reduce dimensionality, enhancing performance model. effectiveness this hybrid approach evaluated on three publicly available datasets: ISIC 2019, ISBI 2016, 2017. Results: For 2019 dataset, model achieved 97.46% sensitivity, 98.89% specificity, 98.42% accuracy, 97.91% precision, 97.68% F1-score, 99.12% AUC-ROC. On 2016 it reached 98.45% 98.24% 97.22% 97.84% 97.62% 98.97% 2017, results were 98.44% 98.86% 97.96% 98.12% 97.88% 99.03% outperforms existing advanced techniques, with 4.2% higher 6.2% improvement in 5.8% increase specificity. Additionally, reduced complexity by up 37.5%. Conclusions: deep learning-Aquila (DL-AO) framework offers efficient detection, making suitable deployment resource-constrained environments such as mobile edge computing platforms. integration DL metaheuristic optimization significantly enhances robustness, detection.

Language: Английский

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The Concept of Health Debt Incurred during the COVID-19 Pandemic on the Example of Basal Cell Skin Cancer Diagnosis in Lower Silesia

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(16), P. 4923 - 4923

Published: Aug. 21, 2024

Introduction: This study explores the impact of COVID-19 pandemic on diagnosis basal cell carcinoma (BCC) in Lower Silesia, Poland, comparing pre-pandemic, pandemic, and post-pandemic periods. It investigates how different medical facilities adapted to pandemic's challenges subsequent implications for cancer diagnosis. Methods: Data from histopathology cytology laboratories were analyzed, focusing BCC diagnoses 2018 2022. included various centers categorized by size source implementation. Statistical analyses conducted compare before, during, after pandemic. Results: During initial wave there was a significant reduction newly diagnosed cases, followed surge post-pandemic. Larger more effectively, while district hospitals faced challenges. Private practices maintained stable rates. The increase suggests backlog undiagnosed cases during Discussion: Challenges accessing healthcare led delayed diagnoses. better equipped handle crisis, struggled. stability, possibly due pre-scheduled appointments. Recommendations include public education symptom recognition standardizing histopathological evaluation protocols. Conclusions: Despite data limitations, this provides valuable insights into diagnosis, highlighting need proactive measures future health crises ensure timely detection treatment cases.

Language: Английский

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Amelanotic Melanoma—Biochemical and Molecular Induction Pathways

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(21), P. 11502 - 11502

Published: Oct. 26, 2024

Amelanotic melanoma (AM) is a subtype of hypomelanotic or completely amelanotic melanoma. AM rare that exhibits higher recurrence rate and aggressiveness as well worse surveillance than typical shows dysregulation melanin production, cell cycle control, apoptosis pathways. Knowing these pathways has an application in medicine due to targeted therapies based on the inhibiting elements abovementioned Therefore, we summarized discussed biochemical molecular induction personalized approaches, clinical management, future directions fact relatively rare. commonly misdiagnosed. Hence, role biomarkers becoming significant. Nonetheless, there shortage specific AM. BRAF, NRAS, c-KIT genes are main targets therapy. However, BRAF KIT varied among studies. inhibitors combined with MAK demonstrate better results. Immune checkpoint targeting CTLA-4 programmed death receptor 1 (PD-1) show outcomes separately. Fecal microbiota transplantation may overcome resistance immune therapy Immune-modulatory vaccines against indoleamine 2,3-dioxygenase (IDO) PD ligand (PD-L1) nivolumab be efficient treatment.

Language: Английский

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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks

Applied Artificial Intelligence, Journal Year: 2024, Volume and Issue: 38(1)

Published: June 6, 2024

Skin cancer is a prevalent type of that affects millions people globally. However, detecting it can be challenging task, even for specialized dermatologists. Early detection crucial successful treatment, and deep learning techniques, particularly convolutional neural networks (DCNNs), have shown tremendous potential in this area. achieving high accuracy results requires large volumes data training these DCNNs. Since medical organizations institutions, individually, do not usually such amounts information available, due to the current regulations regarding intellectual property privacy patient data, difficult share direct way. The primary objective work overcome issue through federated approach. We created privacy-preserving accurate skin classification system assist dermatologists specialists making informed care decisions. DCNNs architecture uses combination pooling layers extract relevant features from lesion images. It also includes fully connected layer classification. To evaluate proposed architecture, we tested on three datasets varying complexity size. demonstrate applicability solution its efficiency

Language: Английский

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