Context.—Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a
necessary first step for a wide array of digital tools to enter the field. Its basic function is to …

Colorectal adenocarcinoma originating in intestinal glandular structures is the most common
form of colon cancer. In clinical practice, the morphology of intestinal glands, including …

The morphology of glands has been used routinely by pathologists to assess the
malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology …

We propose Neural Image Compression (NIC), a two-step method to build convolutional
neural networks for gigapixel image analysis solely using weak image-level labels. First …

Deep learning (DL) has achieved state-of-the-art performance in many digital pathology
analysis tasks. Traditional methods usually require hand-crafted domain-specific features …

Over the past decade, dramatic increases in computational power and improvement in
image analysis algorithms have allowed the development of powerful computer-assisted …

Over the past decades, medical image analytics was greatly facilitated by the explosion of
digital imaging techniques, where huge amounts of medical images were produced with …

In this paper, we develop a new weakly supervised learning algorithm to learn to segment
cancerous regions in histopathology images. This paper is under a multiple instance …

Pathology images capture tumor histomorphological details in high resolution. However,
manual detection and characterization of tumor regions in pathology images is labor …

In histopathological image analysis, the morphology of histological structures, such as
glands and nuclei, has been routinely adopted by pathologists to assess the malignancy …