387 citations · 2k across the 49 of their papers we have counts for
13 papers · 1 filter
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images
Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza +4
Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow. The development of au…
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To +11
High-resolution microscopy images of tissue specimens provide detailed information about the morphology of normal and diseased tissue. Image analysis of tissue morphology can help…
Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations
Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani +2
Computer-aided diagnosis systems for classification of different type of skin lesions have been an active field of research in recent decades. It has been shown that introducing le…
Nuclei Detection Using Mixture Density Networks
Navid Alemi Koohababni, Mostafa Jahanifar, Ali Gooya +1
Nuclei detection is an important task in the histology domain as it is a main step toward further analysis such as cell counting, cell segmentation, study of cell connections, etc.…
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Haroon Idrees, Muhmmad Tayyab, Kishan Athrey +4
With multiple crowd gatherings of millions of people every year in events ranging from pilgrimages to protests, concerts to marathons, and festivals to funerals; visual crowd analy…
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Saad Ullah Akram, Talha Qaiser, Simon Graham +3
Mitosis count is an important biomarker for prognosis of various cancers. At present, pathologists typically perform manual counting on a few selected regions of interest in breast…
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos +30
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective an…
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke +35
International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of c…
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
Simon Graham, Hao Chen, Jevgenij Gamper +5
The analysis of glandular morphology within colon histopathology images is an important step in determining the grade of colon cancer. Despite the importance of this task, manual s…
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features
Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama +4
Tumor segmentation in whole-slide images of histology slides is an important step towards computer-assisted diagnosis. In this work, we propose a tumor segmentation framework based…
Micro-Net: A unified model for segmentation of various objects in microscopy images
Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban +5
Object segmentation and structure localization are important steps in automated image analysis pipelines for microscopy images. We present a convolution neural network (CNN) based…
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images
Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban +2
Convolutional neural networks (CNNs) have been recently used for a variety of histology image analysis. However, availability of a large dataset is a major prerequisite for trainin…
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer
Korsuk Sirinukunwattana, David Snead, David Epstein +5
Distant metastasis is the major cause of death in colorectal cancer (CRC). Patients at high risk of developing distant metastasis could benefit from appropriate adjuvant and follow…