Search Results for author: Beibin Li

Found 4 papers, 3 papers with code

Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline

1 code implementation11 Dec 2020 Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro

In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) that contains a duct-level instance segmentation model, a tissue-level semantic segmentation model, and three-levels of features for diagnostic classification.

General Classification Instance Segmentation +1

Sparsely Grouped Input Variables for Neural Networks

1 code implementation29 Nov 2019 Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda Shapiro, Frederick Shic

In genomic analysis, biomarker discovery, image recognition, and other systems involving machine learning, input variables can often be organized into different groups by their source or semantic category.

Meta-Learning

A Facial Affect Analysis System for Autism Spectrum Disorder

no code implementations7 Apr 2019 Beibin Li, Sachin Mehta, Deepali Aneja, Claire Foster, Pamela Ventola, Frederick Shic, Linda Shapiro

In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, arousal, and valence.

Classification General Classification

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