Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …

Colorectal cancer is one of the most prevalent types of cancer, with histopathologic
examination of biopsied tissue samples remaining the gold standard for diagnosis. During …

Unprecedented breakthroughs in the development of graphical processing systems have
led to great potential for deep learning (DL) algorithms in analyzing visual anatomy from …

Colorectal cancer (CRC) is one of the most common cancers requiring early pathologic
diagnosis using colonoscopy biopsy samples. Recently, artificial intelligence (AI) has made …

Colorectal Cancer (CRC) is currently one of the most common and deadly cancers. CRC is
the third most common malignancy and the fourth leading cause of cancer death worldwide …

Background Accurate and robust pathological image analysis for colorectal cancer (CRC)
diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' …

Colorectal cancer (CRC) is the second leading cause of cancer death in the world, so digital
pathology is essential for assessing prognosis. Due to the increasing resolution and quantity …

Colorectal cancer is one of the leading causes of cancer-related death worldwide. The early
diagnosis of colon cancer not only reduces mortality but also reduces the burden related to …

Nowadays, digital pathology plays a major role in the diagnosis and prognosis of tumours.
Unfortunately, existing methods remain limited when faced with the high resolution and size …

Colorectal cancer is one of the most common cancers worldwide, accounting for an annual
estimated 1.8 million incident cases. With the increasing number of colonoscopies being …