Skin 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. Risk factors associated with skin cancer encompass ultraviolet (UV) radiation exposure, fair skin complexion, a history of sunburn incidents, genetic predisposition, immunosuppressive conditions, and exposure to environmental carcinogens. Early detection of skin cancer is of paramount importance to optimize treatment outcomes and preclude the progression of disease, either locally or to distant sites. In pursuit of this objective, numerous computer-aided diagnosis (CAD) systems have been developed. Hyperspectral imaging (HSI), distinguished by its capacity to capture information spanning the electromagnetic spectrum, surpasses conventional RGB imaging, which relies solely on three color channels. Consequently, this study offers a comprehensive exploration of recent CAD investigations pertaining to skin cancer detection and diagnosis utilizing HSI, emphasizing diagnostic performance parameters such as sensitivity and specificity.
皮肤癌是一种源于角质形成细胞、黑色素细胞及汗腺等皮肤细胞类型的恶性肿瘤,主要包含三种基本类型:基底细胞癌、鳞状细胞癌和恶性黑色素瘤。其中基底细胞癌与鳞状细胞癌虽为皮肤癌中最常见的类型,但其侵袭性通常被认为低于恶性黑色素瘤。值得注意的是,恶性黑色素瘤具有更强的浸润能力,可侵犯邻近组织并通过血液循环及淋巴系统发生转移。皮肤癌的相关风险因素包括紫外线辐射暴露、浅肤色体质、晒伤史、遗传易感性、免疫抑制状态以及环境致癌物接触。早期发现皮肤癌对于优化治疗效果、防止局部或远处转移至关重要。为实现这一目标,目前已开发出多种计算机辅助诊断系统。高光谱成像技术因其能够获取覆盖电磁波谱范围的信息,超越了仅依赖三个颜色通道的传统RGB成像技术。因此,本研究系统综述了近年来基于高光谱成像技术的皮肤癌检测与诊断计算机辅助诊断研究,重点关注灵敏度与特异度等诊断性能参数。