A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation

A Novel Multispace Image Reconstruction Method for Pathological Image Classification Based on Structural Information

(2019) Honglin Zhu et al.   Biomed Research International

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Environmental microorganism classification using conditional random fields and deep convolutional neural networks

(2018) Sergey Kosov et al.   PATTERN RECOGNITION

Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks

(2017) Yuanzhouhan Cao et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Application of content-based image analysis to environmental microorganism classification

(2015) Chen Li et al.   Biocybernetics and Biomedical Engineering

In situ DNA-hybridization chain reaction (HCR): a facilitated in situ HCR system for the detection of environmental microorganisms

(2015) Tsuyoshi Yamaguchi et al.   ENVIRONMENTAL MICROBIOLOGY

Local adaptive approach toward segmentation of microscopic images of activated sludge flocs

(2015) Muhammad Burhan Khan et al.   JOURNAL OF ELECTRONIC IMAGING

Environmental microbiology aided by content-based image analysis

(2015) Chen Li et al.   PATTERN ANALYSIS AND APPLICATIONS

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

(2015) Abdel Aziz Taha et al.   BMC MEDICAL IMAGING