Skin cancer is the predominant form of cancer worldwide, including 75% of all cancer cases. This study aims to evaluate the effectiveness of the spectrum-aided visual enhancer (SAVE) in detecting skin cancer. This paper presents the development of a novel algorithm for snapshot hyperspectral conversion, capable of converting RGB images into hyperspectral images (HSI).
View Article and Find Full Text PDFSkin cancer, a malignant neoplasm originating from skin cell types including keratinocytes, melanocytes, and sweat glands, comprises three primary forms: basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and malignant melanoma (MM). BCC and SCC, while constituting the most prevalent categories of skin cancer, are generally considered less aggressive compared to MM. Notably, MM possesses a greater capacity for invasiveness, enabling infiltration into adjacent tissues and dissemination via both the circulatory and lymphatic systems.
View Article and Find Full Text PDFIn this study, a biochip was fabricated using a light-absorbing layer of a silicon solar element combined with serrated, interdigitated electrodes and used to identify four different types of cancer cells: CE81T esophageal cancer, OE21 esophageal cancer, A549 lung adenocarcinoma, and TSGH-8301 bladder cancer cells. A string of pearls was formed from dielectrophoretic aggregated cancer cells because of the serrated interdigitated electrodes. Thus, cancer cells were identified in different parts, and electron-hole pairs were separated by photo-excited carriers through the light-absorbing layer of the solar element.
View Article and Find Full Text PDFP-type and N-type photoelectrochemical (PEC) biosensors were established in the laboratory to discuss the correlation between characteristic substances and photoactive material properties through the photogenerated charge carrier transport mechanism. Four types of human esophageal cancer cells (ECCs) were analyzed without requiring additional bias voltage. Photoelectrical characteristics were examined by scanning electron microscopy (SEM), X-ray diffraction (XRD), UV-vis reflectance spectroscopy, and photocurrent response analyses.
View Article and Find Full Text PDFAn artificial intelligence algorithm to detect mycosis fungoides (MF), psoriasis (PSO), and atopic dermatitis (AD) is demonstrated. Results showed that 10 s was consumed by the single shot multibox detector (SSD) model to analyze 292 test images, among which 273 images were correctly detected. Verification of ground truth samples of this research come from pathological tissue slices and OCT analysis.
View Article and Find Full Text PDFBackground: An effective regimen to treat patients suffering from acute necrotizing fasciitis requires surgical removal of devitalized tissues, systemic administration of broad antimicrobials and ameliorating underlying systemic disease processes. The task of managing wounds consequential to surgical debridement, on the other hand, can be difficult. We had the opportunity of using a vacuum-assisted wound closure (VAC) technique in 12 patients with non-healing wounds in either the upper or the lower limb because of acute necrotizing fasciitis.
View Article and Find Full Text PDFAvulsed defect of a fingernail bed is a common injury in acute hand trauma. Insufficient management for this type of nail bed avulsion often leads to an irregular and nonadherent nail. The use of thin split-thickness sterile matrix graft from the great toe for immediate replacement of a nail bed defect can regain a smooth, adherent, and normal-looking nail.
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