Abstract: This paper presents a novel hybrid classification pipeline for early skin cancer detection based on the ISIC-2020 dataset. The proposed CLAHE-enhanced FCM-CNN-SVM architecture integrates ...

Vishal A. Patel, MD, explains that delayed skin cancer diagnoses contribute to more advanced disease and poorer outcomes in patients with darker skin. While individuals with phenotypes such as fair ...

WASHINGTON, Jan. 8, 2026 /PRNewswire/ -- On November 11, 2025, CheckMySpot ®, the Direct Access Platform ™ for early skin cancer detection, was honored during the 2025 National Alliance of Healthcare ...

Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...

WINSTON-SALEM, N.C. — Researchers at Wake Forest University School of Medicine are developing a new at-home device they hope will help people identify potential skin cancer risks earlier and encourage ...

A hyperspectral imaging system consists of optical, dispersive, and detection components to meet specific spatial and spectral requirements. It includes an objective lens for spatial resolution, an ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Researchers at Wake Forest University School of Medicine ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

Pancreatic cancer is the deadliest form of cancer worldwide, mainly because the disease is often discovered late. Symptoms associated with these tumors are often nonspecific, so patients and doctors ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...