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09/14/2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Computational pathology uses artificial intelligence to enable precision...
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08/09/2022
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction
Osteosarcoma is the most common primary bone cancer whose standard treat...
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06/21/2022
H E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, with lung ad...
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03/28/2022
Deep Interactive Learning-based ovarian cancer segmentation of H E-stained whole slide images to study morphological patterns of BRCA mutation
Deep learning has been widely used to analyze digitized hematoxylin and ...
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01/26/2021
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting
Histopathology-based survival modelling has two major hurdles. Firstly, ...
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07/02/2020
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment
Osteosarcoma is the most common malignant primary bone tumor. Standard t...
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10/29/2019
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation
Breast carcinoma is one of the most common cancers for women in the Unit...
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03/12/2019
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary
Unlike common cancers, such as those of the prostate and breast, tumor g...
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05/17/2018
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology
In the field of computational pathology, the use of decision support sys...
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04/20/2018
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem
Positron emission tomography (PET) is a cornerstone of modern radiology....
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12/31/2015
Computational Pathology: Challenges and Promises for Tissue Analysis
The histological assessment of human tissue has emerged as the key chall...
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03/21/2015
Boosting Convolutional Features for Robust Object Proposals
Deep Convolutional Neural Networks (CNNs) have demonstrated excellent pe...
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06/20/2014
Early Recognition of Human Activities from First-Person Videos Using Onset Representations
In this paper, we propose a methodology for early recognition of human a...
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10/08/2013