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05/03/2023
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification
Classification of gigapixel Whole Slide Images (WSIs) is an important pr...
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02/19/2023
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images
Some major challenges associated with the automated processing of whole ...
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01/30/2023
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
Semantic segmentation of various tissue and nuclei types in histology im...
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07/16/2021
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Whole body magnetic resonance imaging (WB-MRI) is the recommended modali...
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02/21/2021
Classification of COVID-19 via Homology of CT-SCAN
In this worldwide spread of SARS-CoV-2 (COVID-19) infection, it is of ut...
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08/11/2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
Semi-supervised techniques have removed the barriers of large scale labe...
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03/26/2019
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
Estimating over-amplification of human epidermal growth factor receptor ...
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10/31/2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
High-resolution microscopy images of tissue specimens provide detailed i...
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07/31/2018
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Mitosis count is an important biomarker for prognosis of various cancers...
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07/22/2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Tumor proliferation is an important biomarker indicative of the prognosi...
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05/09/2018
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features
Tumor segmentation in whole-slide images of histology slides is an impor...
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05/23/2017