Colorectal carcinoma: Pathologic aspects.

By M. Fleming, Sreelakshmi Ravula, S. Tatishchev, Hanlin L. Wang. Journal of Gastrointestinal Oncology, 2012

748 citations recorded by the source corpus.

Subfields: Oncology, Pathology and Forensic Medicine

View Paper: https://www.semanticscholar.org/paper/a6b4e21997781f13c8e3da39f249aa05f086e2fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Oncology

1. P. Heng
2. Hao Chen
3. Lequan Yu
4. Balázs Harangi

Citations in the corpus

• Gland segmentation in colon histology images: The glas challenge contest (2016, background): “[Fleming et al., 2012, Loughrey et al., 2014].”
• DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation (2016, background): “In the routine of histopathological examination, the morphology of glands has been widely used for assessing the malignancy degree of several adenocarcinomas, including breast [14], prostate [19], and colon [17].”
• Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework (2020, background): “GLAND instance segmentation is an essential step to quantitatively analyze the malignancy degree of adenocarcinomas [1] by pathologists.”