Published: Sai Kosaraju and Mingon Kang

Sai Kosaraju and Mingon Kang (both Computer Science) published a journal paper, "Deep-Hipo: Multi-scale Receptive Field Deep Learning for Histopathological Image Analysis" in Methods. In the study, they developed a novel multi-task-based deep learning model for histopathology (named Deep-Hipo) that takes multi-scale patches simultaneously for accurate histopathological image analysis. Deep-Hipo extracts two patches of the same size in both high- and low-magnification levels and captures complex morphological patterns in both large and small receptive fields of a whole-slide image. Deep-Hipo has outperformed current state-of-the-art deep learning methods. Kosaraju is a Ph.D. student.

People in the News

man with stethoscope
People | May 27, 2020
Dr. David Di John recommends frequently discussing the disease with your family.
Portrait of Physics and astronomy professor Ashkan Salamat in red light.
People | May 26, 2020
Pressure — the highest pressure imaginable — is the name of the game for this physics professor.
A woman in an Army uniform smiles
People | May 20, 2020
National Guard member and UNLV student Jackie Trujillo finds way to balance helping combat the virus with her studies.