Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique

No abstract is available for this paper.

• Publication year

  2021

• Venue

  Health technology

• Publication date

  2021-09-17

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1007/s12553-021-00592-0
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival

  2020cited by this paper
• Histological classification of breast tumors in the General Rules for Clinical and Pathological Recording of Breast Cancer (18th edition)

  2020cited by this paper
• Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images

  2019cited by this paper
• Breast cancer histopathology image classification through assembling multiple compact CNNs

  2019cited by this paper
• Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

  2019cited by this paper
• Breast Cancer Histology Image Classification using Deep Learning

  2019cited by this paper
• Global burden of breast cancer and attributable risk factors in 195 countries and territories, from 1990 to 2017: results from the Global Burden of Disease Study 2017

  2019cited by this paper
• Cytological Grading of Breast Tumors—The Human and Canine Perspective

  2019cited by this paper
• The Screening, Diagnosis, Treatment, and Follow-Up of Breast Cancer.

  2018cited by this paper
• Eighth Edition of the AJCC Cancer Staging Manual: Breast Cancer

  2018cited by this paper
• Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering

  2018cited by this paper
• Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016:A Systematic Analysis for the Global Burden of Disease Study

  2018cited by this paper
• Breast Cancer Histopathological Image Classification: A Deep Learning Approach

  2018cited by this paper
• Histopathology Grading Identification of Breast Cancer Based on Texture Classification Using GLCM and Neural Network Method

  2018cited by this paper
• Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images

  2018cited by this paper
• Classification of Breast Cancer Histology using Deep Learning

  2018cited by this paper
• Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

  2018cited by this paper
• Breast cancer development and progression: Risk factors, cancer stem cells, signaling pathways, genomics, and molecular pathogenesis

  2018cited by this paper
• Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

  2018cited by this paper
• Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

  2018influential reference
• Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

  2018cited by this paper
• Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016

  2018cited by this paper
• Breast Cancer Histology Image Classification Based on Deep Neural Networks

  2018influential reference
• Grading of invasive breast carcinoma through Grassmannian VLAD encoding

  2017cited by this paper
• Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection

  2017cited by this paper
• Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection

  2017cited by this paper
• Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

  2017cited by this paper
• Exposing Computer Generated Images by Using Deep Convolutional Neural Networks

  2017cited by this paper
• Classification of breast cancer histology images using Convolutional Neural Networks

  2017cited by this paper
• Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features

  2017cited by this paper
• Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model

  2017cited by this paper
• Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

  2016cited by this paper
• Evaluation of 12 strategies for obtaining second opinions to improve interpretation of breast histopathology: simulation study

  2016cited by this paper
• Aggregated Residual Transformations for Deep Neural Networks

  2016cited by this paper
• Identity Mappings in Deep Residual Networks

  2016cited by this paper
• Deep Learning

  2016cited by this paper
• A Dataset for Breast Cancer Histopathological Image Classification

  2016influential reference
• Breast cancer intrinsic subtype classification, clinical use and future trends.

  2015cited by this paper
• Deep Residual Learning for Image Recognition

  2015cited by this paper
• Going deeper with convolutions

  2014cited by this paper
• Classification and grading of canine malignant mammary tumors

  2013cited by this paper
• Status quo and development trend of breast biopsy technology.

  2013cited by this paper
• Adaptive height-modified histogram equalization and chroma correction in YCbCr color space for fast backlight image compensation

  2011cited by this paper
• Rectified Linear Units Improve Restricted Boltzmann Machines

  2010cited by this paper
• Histopathological Image Analysis: A Review

  2009cited by this paper
• Staging of breast cancer in the neoadjuvant setting.

  2008cited by this paper
• Rubin??s Pathology. Clinicopathologic Foundations of Medicine

  2008cited by this paper
• Breast cancer: origins and evolution.

  2007cited by this paper
• Advances in computer-aided diagnosis for breast cancer

  2006cited by this paper
• Twenty-year follow-up of a randomized study comparing breast-conserving surgery with radical mastectomy for early breast cancer.

  2002cited by this paper
• Epidemiology of susceptibility to breast cancer.

  1996cited by this paper
• Systemic Pathology

  1979cited by this paper

• Staining normalization in histopathology: Method benchmarking using multicenter dataset.

  2026cites this paper
• HFT-Net: Hybrid Fusion Transformer Network for Multi-Source Breast Cancer Classification

  2025cites this paper
• The clinicopathological and molecular landscape of breast cancer patients: a retrospective study in Sulaimaniyah, Iraq

  2025cites this paper
• Staining normalization in histopathology: Method benchmarking using multicenter dataset

  2025cites this paper
• AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection

  2025cites this paper
• Subtyping breast lesions via collective intelligence based long-tailed recognition in ultrasound

  2025cites this paper
• Analysis of breast cancer classification and segmentation techniques: A comprehensive review

  2025cites this paper
• TMAN: A Triple Morphological Feature Attention Network for Fine-Grained Classification of Breast Ultrasound Images

  2025cites this paper
• Breast Cancer Detection using Histopathological Images

  2025cites this paper
• A Novel Local Binary Patterns-Based Approach and Proposed CNN Model to Diagnose Breast Cancer by Analyzing Histopathology Images

  2025influential citation
• Advances in Breast Cancer Care: The Role of Artificial Intelligence and Digital Pathology in Precision Medicine

  2025cites this paper
• ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis With Cellular-Level Control

  2025cites this paper
• Deep Learning-Driven Adaptive Wavelet Thresholding for Breast Cancer Histopathology Image Classification

  2025cites this paper
• Breast Cancer Detection and Sub-typing Using Subtraction of Temporally Sequential Mammograms and Machine Learning: Assessment of Invasiveness and Tumor Grade

  2025cites this paper
• Breast Cancer Sub-Typing Using Digital Mammograms and Machine Learning: Predicting Invasiveness and Tumor Grade

  2025cites this paper
• Deep Learning Based Classification Approach to Improve Breast Cancer Screening Using Histopathological Images

  2024cites this paper
• Multi-class classification of breast cancer abnormality using transfer learning

  2024cites this paper
• Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images

  2024cites this paper
• Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images

  2024cites this paper
• Deep learning-based identification of esophageal cancer subtypes through analysis of high-resolution histopathology images

  2024cites this paper
• Efficient Machine Learning and Deep Learning Techniques for Detection of Breast Cancer Tumor

  2024cites this paper
• Transfer Learning-based CNN Model for the Classification of Breast Cancer from Histopathological Images

  2024cites this paper
• Vision transformer-convolution for breast cancer classification using mammography images: A comparative study

  2024cites this paper
• PERFORMANCE EVALUATION OF EFFICIENTNETV2 MODELS ON THE CLASSIFICATION OF HISTOPATHOLOGICAL BENIGN BREAST CANCER IMAGES

  2024cites this paper
• Breast Histology Slides Classification using Fused Lightweight Deep Features

  2024cites this paper
• PathUp: Patch-wise Timestep Tracking for Multi-class Large Pathology Image Synthesising Diffusion Model

  2024cites this paper
• An optimal deep learning approach for breast cancer detection and classification with pre-trained CNN-based feature learning mechanism

  2024cites this paper
• Deep learning approaches for detection, classification, and localization of breast cancer using microscopic images: A review and bibliometric analysis

  2024cites this paper
• Breast Cancer Detection Based on Histopathological Images Using Vision Transformers

  2024cites this paper
• Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things

  2023cites this paper
• Molecular-subtype guided automatic invasive breast cancer grading using dynamic contrast-enhanced MRI

  2023cites this paper
• Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning

  2023cites this paper
• Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder

  2023cites this paper
• Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model

  2023cites this paper
• Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches.

  2023cites this paper
• Unique clusters of patterns of breast cancer survivorship

  2022cites this paper
• Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological Images

  2022cites this paper
• The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review

  2022cites this paper
• Unique clusters of patterns of breast cancer survivorship

  2022cites this paper
• A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images

  2021cites this paper
• Histopathological image-based breast cancer detection employing 3D-convolutional neural network feature extraction and Stochastic Diffusion Kernel Recursive Neural Networks classification

  2021cites this paper