Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …

Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …

The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …

Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …

Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for
develo** colorectal cancer. However, polyp segmentation is a challenging task due to the …

Among the world's most common cancers, colorectal cancer is the third most severe form of
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …

Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality
rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be …

Colorectal cancer has a great incidence rate worldwide, but its early detection significantly
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …

This paper proposes an innovative object detector by leveraging deep features learned in
high-level layers. Compared with features produced in earlier layers, the deep features are …