Of all the types of breast cancer, triple negative breast cancer (TNBC) is the most aggressive and lacks specific therapies.

FOX Business' Geri Willis and 'The Big Money Show' panel discuss the application of artificial intelligence in the medical ...

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...

Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...

Abstract: Automated systems for skin cancer detection (ASCD) powered by Artificial Intelligence (AI) and Deep Learning (DL) have become critical tools in improving diagnostic accuracy, offering a ...

Abstract: Breast cancer remains a significant global health challenge, with current detection methods like imaging and biopsy being invasive, costly, and often inaccessible for continuous monitoring.

Abstract: Ovarian cancer is one of the deadliest cancers in women because it shows no clear symptoms in the early stages and often returns after treatment. Current detection methods are not strong ...

Abstract: Cervical cancer remains a leading cause of cancer-related mortality among women, particularly in regions with limited access to early and accurate diagnostics. This study explores the use of ...

Abstract: Advances in image processing technology have enabled automation in various aspects of life, including the safety of cosmetic products. This study aims to develop a hazardous ingredient ...

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) ...