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

Residual learning based CNN for breast cancer histopathological image classification

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

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Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer

(2020) Aline Baltres et al.   Breast Cancer

A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms

(2020) Said Boumaraf et al.   Biomed Research International

Concept attribution: Explaining CNN decisions to physicians

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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

Deep Learning in the Biomedical Applications: Recent and Future Status

(2019) Ryad Zemouri et al.   Applied Sciences-Basel

Brain tumor classification for MR images using transfer learning and fine-tuning

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Neural Image Compression for Gigapixel Histopathology Image Analysis

(2019) David Tellez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering

(2018) Abdullah-Al Nahid et al.   Biomed Research International

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

(2018) Dalal Bardou et al.   IEEE Access

A Dataset for Breast Cancer Histopathological Image Classification

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

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

(2016) Abhishek Vahadane et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Classification of benign and malignant masses based on Zernike moments

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A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Mode-shape recognition and finite element model updating using the Zernike moment descriptor

(2009) Weizhuo Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING