Autonomous Quality and Hallucination Assessment for Virtual Tissue Staining and Digital Pathology

no code implementations • 29 Apr 2024 • Luzhe Huang, Yuzhu Li, Nir Pillar, Tal Keidar Haran, William Dean Wallace, Aydogan Ozcan

Here, we present an autonomous quality and hallucination assessment method (termed AQuA), mainly designed for virtual tissue staining, while also being applicable to histochemical staining.

Hallucination Image Generation

Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling

no code implementations • 1 Apr 2024 • Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Musa Aydin, Aras Firat Unal, Aditya Gomatam, Zhen Guo, Darrow Morgan Angus, Goren Kolodney, Karine Atlan, Tal Keidar Haran, Nir Pillar, Aydogan Ozcan

Human epidermal growth factor receptor 2 (HER2) is a critical protein in cancer cell growth that signifies the aggressiveness of breast cancer (BC) and helps predict its prognosis.

Virtual histological staining of unlabeled autopsy tissue

no code implementations • 2 Aug 2023 • Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di wu, Songyu Sun, Guangdong Ma, Kevin De Haan, Luzhe Huang, Sepehr Hamidi, Anatoly Urisman, Tal Keidar Haran, William Dean Wallace, Jonathan E. Zuckerman, Aydogan Ozcan

Histological examination is a crucial step in an autopsy; however, the traditional histochemical staining of post-mortem samples faces multiple challenges, including the inferior staining quality due to autolysis caused by delayed fixation of cadaver tissue, as well as the resource-intensive nature of chemical staining procedures covering large tissue areas, which demand substantial labor, cost, and time.

Image Registration