DeepBreastNet: A novel and robust approach for automated breast cancer detection from histopathological images

Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation

(2021) Said Boumaraf et al.   Diagnostics

Residual learning based CNN for breast cancer histopathological image classification

(2020) Mahesh Gour et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Pre‐trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology

(2020) Shweta Saxena et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization

(2020) Majid Nour et al.   APPLIED SOFT COMPUTING

Efficient approach for EEG-based emotion recognition

(2020) D. Şengür et al.   ELECTRONICS LETTERS

A new pyramidal concatenated CNN approach for environmental sound classification

(2020) Fatih Demir et al.   APPLIED ACOUSTICS

A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images

(2020) Said Boumaraf et al.   Biomedical Signal Processing and Control

Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing

(2020) Pin Wang et al.   Biomedical Signal Processing and Control

Cancer statistics, 2019

(2019) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

MHD conjugate natural convection in a porous cavity involving a curved conductive partition and estimations by using Long Short-Term Memory Networks

(2019) Fatih Selimefendigil et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer

(2019) Mesut Toğaçar et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images

(2019) Ümit Budak et al.   APPLIED SOFT COMPUTING

An improved multiclass support vector machine classifier using reduced hyper-plane with skewed binary tree

(2018) Pranjal S. Bogawar et al.   APPLIED INTELLIGENCE

Individual Tree Crown Detection and Delineation From Very-High-Resolution UAV Images Based on Bias Field and Marker-Controlled Watershed Segmentation Algorithms

(2018) Hongyu Huang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks

(2018) Dalal Bardou et al.   IEEE Access

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Robust Parametric Twin Support Vector Machine for Pattern Classification

(2017) Reshma Rastogi et al.   NEURAL PROCESSING LETTERS

A Dataset for Breast Cancer Histopathological Image Classification

(2016) Fabio A. Spanhol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Breast Cancer Histopathology Image Analysis: A Review

(2014) Mitko Veta et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation

(2009) K. Parvati et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY