Yee-Wah Tsang

According to our database, Yee-Wah Tsang authored at least 13 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

Noor ul Wahab, Islam M. Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat Lashen, Asmaa Ibrahim, Ayaka Katayama, Henry O. Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee-Wah Tsang, Kishore Gopalakrishnan, David R. J. Snead, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas

CoRR, 2021

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

Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot

IEEE Trans. Medical Imaging, 2020

Cellular community detection for tissue phenotyping in colorectal cancer histology images.

Sajid Javed, Arif Mahmood, Muhammad Moazam Fraz, Navid Alemi Koohbanani, Ksenija Benes, Yee-Wah Tsang, Katherine Hewitt, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot

Medical Image Anal., 2020

Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images.

Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot

CoRR, 2020

2019

Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features.

Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot

Medical Image Anal., 2019

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.

Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Ayesha Azam, Yee-Wah Tsang, Jin Tae Kwak, Nasir M. Rajpoot

Medical Image Anal., 2019

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.

Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot

Medical Image Anal., 2019

2018

Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer.

Korsuk Sirinukunwattana, David R. J. Snead, David B. A. Epstein, Zia Aftab, Imaad Mujeeb, Yee-Wah Tsang, Ian A. Cree, Nasir M. Rajpoot

CoRR, 2018

2017

Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features.

Talha Qaiser, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.

Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot

IEEE Trans. Medical Imaging, 2016

Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images.

Talha Qaiser, Korsuk Sirinukunwattana, Kazuaki Nakane, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

2015

A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images.

Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015