activity
20172026
most citedMitosis domain generalization in histopathology images -- The MIDOG challenge

162 citations · 488 across the 33 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 4 cited

CoNIC: Colon Nuclei Identification and Counting Challenge 2022

Simon Graham, Mostafa Jahanifar, Quoc Dang Vu +6

Nuclear segmentation, classification and quantification within Haematoxylin & Eosin stained histology images enables the extraction of interpretable cell-based features that can be…

cs.CV2021★ 1 cited

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge

Mostafa Jahanifar, Adam Shephard, Neda Zamani Tajeddin +5

The detection of mitotic figures from different scanners/sites remains an important topic of research, owing to its potential in assisting clinicians with tumour grading. The MItos…

eess.IV2021★ 2 cited

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia

Adam J. Shephard, Simon Graham, R. M. Saad Bashir +4

Oral epithelial dysplasia (OED) is a pre-malignant histopathological diagnosis given to lesions of the oral cavity. Predicting OED grade or whether a case will transition to malign…

eess.IV2021★ 1 cited

Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input

Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani +1

From the simple measurement of tissue attributes in pathology workflow to designing an explainable diagnostic/prognostic AI tool, access to accurate semantic segmentation of tissue…

cs.CV2021★ 6 cited

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification

Simon Graham, Mostafa Jahanifar, Ayesha Azam +14

The development of deep segmentation models for computational pathology (CPath) can help foster the investigation of interpretable morphological biomarkers. Yet, there is a major b…

cs.CV2021

Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification

Neda Zamanitajeddin, Mostafa Jahanifar, Nasir Rajpoot

Digitization of histology images and the advent of new computational methods, like deep learning, have helped the automatic grading of colorectal adenocarcinoma cancer (CRA). Prese…

eess.IV2021★ 1 cited

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations

Noorul Wahab, Islam M Miligy, Katherine Dodd +24

Recent advances in whole slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence (AI) based diagnostic, prognostic, an…