Kepler Mission, Antibody, IEEE Computer Society, Oncology, Organism, Computer vision

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On Sep 24, 2020
@AlisonBLowndes shared
Very important paper on federated learning & how medical facilities can work together WITHOUT sharing data & still utilise #AI systems to analyse & interpret whole slides, using heatmaps to understand tumor morphology. https://t.co/C2pmFQ23Af @BrighamWomens @harvardmed et al.
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In the proceeding section, we demonstrate the feasibility, adaptability and interpretability of attention-based multi- ple instance federated learning on four different computa- tional pathology problems: A) Breast Invasive Carcinoma (BRCA) subtyping B) Renal Cell Carcinoma (RCC) sub- ...

arxiv.org
On Sep 24, 2020
@AlisonBLowndes shared
Very important paper on federated learning & how medical facilities can work together WITHOUT sharing data & still utilise #AI systems to analyse & interpret whole slides, using heatmaps to understand tumor morphology. https://t.co/C2pmFQ23Af @BrighamWomens @harvardmed et al.
Open

Click here to read the article

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In the proceeding section, we demonstrate the feasibility, adaptability and interpretability of attention-based multi- ple instance federated learning on four different computa- tional ...

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In sum, this work illustrates the importance of including expert domain knowledge in even state-of-the-art deep learning models when applying them to scientific research problems that seek ...

Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

The analyses were compared with a random forest clinical model with features of stage, gender, age, tumor grade, performance, smoking status, and clinical tumor size (primary maximum axial ...

Scalable Training with Information Bottleneck Objectives

Scalable Training with Information Bottleneck Objectives

Following this principle, many variations of IB objectives have been proposed (Alemi et al., 2016; Strouse & Schwab, 2017; Fisher, 2019; Gondek & Hofmann, 2003; Achille & Soatto, 2018a), ...

Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks

Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks

Keywords: burst imaging · image processing · deblurring · denoising · convolutional neural networks 1 Introduction Motion blur and noise remain a significant problem in photography despite ...

Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms

Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms

Proceedings of NAACL-HLT 2019, pages 3620–3630 Minneapolis, Minnesota, June 2 - June 7, 2019. c©2019 Association for Computational Linguistics 3620 Let’s Make Your Request More Persuasive: ...

Cracking Tumor Defiance

Cracking Tumor Defiance

Why does immunotherapy achieve dramatic results in some cancer patients but doesn’t help others? It is an urgent and vexing question for many cancer specialists. Now, two research groups ...

Learning Logistic Circuits

Learning Logistic Circuits

Collectively, these approaches achieve the state of the art in discrete density estimation and vastly outper- form classical probabilistic graphical model learners (Gens and Domingos 2013; ...

Cancer Immunotherapy Resistance Due to Metabolic Imbalance

Cancer Immunotherapy Resistance Due to Metabolic Imbalance

Cancer cells appear to adapt to treatment with checkpoint blocker drugs by altering a metabolic process, leading to shorter survival for patients