Citation Impact
Citing Papers
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
2016 Standout
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
2013
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Cellpose: a generalist algorithm for cellular segmentation
2020 Standout
Classification of breast cancer histology images using Convolutional Neural Networks
2017
Digital pathology and artificial intelligence
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
An ACO-based algorithm for parameter optimization of support vector machines
2010
Using deep transfer learning for image-based plant disease identification
2020 Standout
A Dataset for Breast Cancer Histopathological Image Classification
2015 Standout
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review
2016
Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images
2018
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
2019
Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images
2019
An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
2020 Standout
Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence
2021
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
2015
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends
2021 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Learning from imbalanced data: open challenges and future directions
2016 Standout
A Survey of Deep Active Learning
2021 Standout
Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images
2013
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
2017
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
2021 Standout
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2015 Standout
Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
2020
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance
2021 Standout
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
2020
Deep Learning in Medical Image Analysis
2017 Standout
Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks
2018
Works of Thomas Fevens being referenced
Automatic clinical image segmentation using pathological modeling, PCA and SVM
2006
Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies
2008
Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies
2013