Breast Cancer Histopathology Image

Breast cancer histopathology image analysis focuses on using digital images of tissue samples to improve diagnosis and prognosis. Current research emphasizes the development and application of deep learning models, such as EfficientNet and variations of convolutional neural networks, often incorporating techniques like transfer learning, contrastive learning, and stain normalization to enhance accuracy and efficiency. These advancements aim to improve the speed and accuracy of breast cancer diagnosis, potentially leading to earlier intervention and more personalized treatment strategies, while also addressing challenges like limited data availability and inter-image variability. Furthermore, research is exploring the integration of histopathology images with other data modalities and the development of explainable AI methods to increase clinician confidence and transparency.

Papers

June 7, 2024

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
Faseela Abdullakutty, Younes Akbari, Somaya Al-Maadeed, Ahmed Bouridane, Rifat Hamoudi
High Explainability Multi Modal DCU Insight AQ Multi Modality Multi Modal Data Data Analysis Breast Cancer Diagnosis Breast Cancer Histopathology Image

May 6, 2024

Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
Matina Mahdizadeh Sani, Ali Royat, Mahdieh Soleymani Baghshah
Deep Neural Network Self Supervised Learning Classification Code Supervised Learning Supervised Contrastive Learning Breast Cancer Histopathology Image

November 21, 2023

Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images
Petru Manescu, Joseph Geradts, Delmiro Fernandez-Reyes
Deep Learning Whole Slide Image Morphological Feature Tumor Cell Hematoxylin and Eosin Learning Based Detection Breast Cancer Histopathology Image Tissue Region

June 25, 2023

SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
Luyuan Xie, Cong Li, Zirui Wang, Xin Zhang, Boyan Chen, Qingni Shen, Zhonghai Wu
Super Resolution High Resolution Multi Scale Feature ATAC Net Classification Network Breast Cancer Histopathology Image

June 2, 2023

Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Masoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, Lill-Tove Rasmussen Busund, Kajsa Møllersen
Narrative Review Digital Pathology Histopathological Image Computational Pathology Whole Slide Image Available Datasets Breast Cancer Histopathology Image Breast Cancer Histopathological Image Classification

April 10, 2023

hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images
Raktim Kumar Mondol, Ewan K. A. Millar, Peter H Graham, Lois Browne, Arcot Sowmya, Erik Meijering
Cancer Genome Atlas Efficient Neural Network Architecture miRNA Description Breast Cancer Histopathology Image

March 17, 2023

Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning
Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering
Deep Learning Spatial Transcriptomics Histology Image Gene Expression Prediction Intra Tumoral Genetic Heterogeneity Breast Cancer Histopathology Image

September 3, 2022

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri, Samaneh Emami
Classification Code Feature Extraction Breast Cancer Histopathology Image Deep Feature Gradient Boosting Breast Cancer Detection Breast Cancer Diagnosis Breast Cancer Histopathology Image

July 3, 2022

Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models
Tat-Bao-Thien Nguyen, Minh-Vuong Ngo, Van-Phong Nguyen
Deep Learning Model Image Classification Histopathological Image Pathology Image Training Image Cancer Patient EfficientNet Algorithm Breast Tissue Breast Cancer Histopathology Image

March 15, 2022

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
Self Supervised Learning Representation Learning Practical Method Self Supervised Pre Training Breast Cancer Histopathology Image Multi Magnification

January 4, 2022

Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection
Sruthi Krishna, Suganthi S. S, Shivsubramani Krishnamoorthy, Arnav Bhavsar
Convolutional Neural Network Digital Pathology Histopathology Image Cancer Detection Stain Normalization Histological Staining Breast Cancer Histopathology Image Breast Cancer Histopathological Image Classification

Breast Cancer Histopathology Image

Papers

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability

Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method

Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images

SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image

Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review

hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images

Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods

Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images

Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection