A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development

Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours

(2020) Osamu Iizuka et al.   Scientific Reports

Image segmentation evaluation: a survey of methods

(2020) Zhaobin Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

A hybrid feature preservation technique based on luminosity and edge based contrast enhancement in color fundus images

(2020) Gopinath Palanisamy et al.   Biocybernetics and Biomedical Engineering

Breast lesion classification based on ultrasonic radio-frequency signals using convolutional neural networks

(2020) Piotr Jarosik et al.   Biocybernetics and Biomedical Engineering

Hierarchical conditional random field model for multi-object segmentation in gastric histopathology images

(2020) Changhao Sun et al.   ELECTRONICS LETTERS

Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis

(2020) Sai Chandra Kosaraju et al.   METHODS

Optimization driven Deep Convolution Neural Network for brain tumor classification

(2020) Sharan Kumar et al.   Biocybernetics and Biomedical Engineering

A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation

(2020) Jinghua Zhang et al.   Biomed Research International

Prostate lesion segmentation in MR images using radiomics based deeply supervised U-Net

(2020) Praful Hambarde et al.   Biocybernetics and Biomedical Engineering

SVMs Multi-class Loss Feedback Based Discriminative Dictionary Learning for Image Classification

(2020) Bao-Qing Yang et al.   PATTERN RECOGNITION

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

(2020) Zhigang Song et al.   Nature Communications

Image denoising using complex-valued deep CNN

(2020) Yuhui Quan et al.   PATTERN RECOGNITION

Pairwise dependence-based unsupervised feature selection

(2020) Hyunki Lim et al.   PATTERN RECOGNITION

M-WRSF model for medical image segmentation

(2019) Haiyang Jiang et al.   ELECTRONICS LETTERS

Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier

(2019) R. Geetha et al.   JOURNAL OF MEDICAL SYSTEMS

Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework

(2019) Ander Carreño et al.   ARTIFICIAL INTELLIGENCE REVIEW

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

(2019) Shujun Wang et al.   MEDICAL IMAGE ANALYSIS

Classification of molecular structure images by using ANN, RF, LBP, HOG, and size reduction methods for early stomach cancer detection

(2018) Sevcan Aytaç Korkmaz et al.   JOURNAL OF MOLECULAR STRUCTURE

Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks

(2018) Jia Qu et al.   Journal of Healthcare Engineering

The use of the Hellwig's method for feature selection in the detection of myeloma bone destruction based on radiographic images

(2018) Zbigniew Omiotek et al.   Biocybernetics and Biomedical Engineering

3D Cascaded Convolutional Networks for Multi-Vertebrae Segmentation

(2018) Liu Xia et al.   Current Medical Imaging Reviews

Computer Aided Diagnosis System for Detection of Cancer Cells on Cytological Pleural Effusion Images

(2018) Khin Yadanar Win et al.   Biomed Research International

Raman Spectroscopy in Colorectal Cancer Diagnostics: Comparison of PCA-LDA and PLS-DA Models

(2016) Wenjing Liu et al.   Journal of Spectroscopy

Assessment of algorithms for mitosis detection in breast cancer histopathology images

(2015) Mitko Veta et al.   MEDICAL IMAGE ANALYSIS

Deep learning

(2015) Yann LeCun et al.   NATURE

A Multiatlas Segmentation Using Graph Cuts with Applications to Liver Segmentation in CT Scans

(2014) Carlos Platero et al.   Computational and Mathematical Methods in Medicine

Screening for Cervical Cancer Using Automated Analysis of PAP-Smears

(2014) Ewert Bengtsson et al.   Computational and Mathematical Methods in Medicine

Automation-assisted cervical cancer screening in manual liquid-based cytology with hematoxylin and eosin staining

(2013) Ling Zhang et al.   CYTOMETRY PART A

Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images

(2013) Mitko Veta et al.   PLoS One

Multi-class AdaBoost

(2013) Trevor Hastie et al.   Statistics and Its Interface

RETRACTED ARTICLE: Analysis of advanced image processing to clinical and preclinical decision making with prospectus of quantitative imaging biomarkers

(2012) Amjad Rehman et al.   ARTIFICIAL INTELLIGENCE REVIEW

American society of cytopathology workload recommendations for automated pap test screening: Developed by the productivity and quality assurance in the era of automated screening task force

(2012) Tarik M. Elsheikh et al.   DIAGNOSTIC CYTOPATHOLOGY

Detection and Segmentation of Cell Nuclei in Virtual Microscopy Images: A Minimum-Model Approach

(2012) Stephan Wienert et al.   Scientific Reports

A survey on feature extraction for pattern recognition

(2011) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Computational pathology: Challenges and promises for tissue analysis

(2011) Thomas J. Fuchs et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Histology, imaging and new diagnostic work-flows in pathology

(2008) John Gilbertson et al.   Diagnostic Pathology