387 citations · 2k across the 49 of their papers we have counts for
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NuClick: From Clicks in the Nuclei to Nuclear Boundaries
Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir Rajpoot
Best performing nuclear segmentation methods are based on deep learning algorithms that require a large amount of annotated data. However, collecting annotations for nuclear segmen…
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou, Simon Graham, Navid Alemi Koohbanani +3
Colorectal cancer (CRC) grading is typically carried out by assessing the degree of gland formation within histology images. To do this, it is important to consider the overall tis…
Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework
Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya +1
Nuclear segmentation in histology images is a challenging task due to significant variations in the shape and appearance of nuclei. One of the main hurdles in nuclear instance segm…
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz +3
Digital histology images are amenable to the application of convolutional neural network (CNN) for analysis due to the sheer size of pixel data present in them. CNNs are generally…
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
Talha Qaiser, Nasir M. Rajpoot
Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast cancer (BC) is regarded as a significant predictive and prognostic marker. We pr…