The convergence of digital pathology and computer vision is increasingly enabling
computers to perform tasks performed by humans. As a result, artificial intelligence (AI) is …

Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …

Breast cancer is the most common malignant disease worldwide, with over 2.26 million new
cases in 2020. Its diagnosis is determined by a histological review of breast biopsy …

Paige Prostate is a clinical-grade artificial intelligence tool designed to assist the pathologist
in detecting, grading, and quantifying prostate cancer. In this work, a cohort of 105 prostate …

The advantages of the digital methodology are well known. In this paper, we provide a
detailed description of the process for the digital transformation of the pathology laboratory …

Breast cancer is a significant health concern among women. Prompt diagnosis can diminish
the mortality rate and direct patients to take steps for cancer treatment. Recently, deep …

Breast cancer is the most common malignancy in women worldwide, and is responsible for
more than half a million deaths each year. The appropriate therapy depends on the …

Background A number of publications have demonstrated that deep learning (DL)
algorithms matched or outperformed clinicians in image-based cancer diagnostics, but these …

Photon absorption remote sensing (PARS) is a new laser-based microscope technique that
permits cellular-level resolution of unstained fresh, frozen, and fixed tissues. Our objective …

The integration of artificial intelligence (AI) into healthcare practice has improved patient
management and care. Many clinical laboratory specialties have already integrated AI in …