Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier

A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images

(2021) Anabia Sohail et al.   Scientific Reports

Breast cancer diagnosis from histopathological images using textural features and CBIR

(2020) Edson D. Carvalho et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs

(2020) Tahir Mahmood et al.   Journal of Clinical Medicine

Multifaceted fused-CNN based scoring of breast cancer whole-slide histopathology images

(2020) Noorul Wahab et al.   APPLIED SOFT COMPUTING

ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network

(2020) Zhan Wu et al.   MEDICAL IMAGE ANALYSIS

Roto-translation equivariant convolutional networks: Application to histopathology image analysis

(2020) Maxime W. Lafarge et al.   MEDICAL IMAGE ANALYSIS

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer

(2020) Simon M. Thomas et al.   MEDICAL IMAGE ANALYSIS

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

(2020) Yiqiu Shen et al.   MEDICAL IMAGE ANALYSIS

Transfer learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images

(2019) Noorul Wahab et al.   Microscopy

Weakly supervised mitosis detection in breast histopathology images using concentric loss

(2019) Chao Li et al.   MEDICAL IMAGE ANALYSIS

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

(2018) David Tellez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks

(2018) Chao Li et al.   MEDICAL IMAGE ANALYSIS

Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

(2018) Babak Ehteshami Bejnordi et al.   MODERN PATHOLOGY

Ensemble learning: A survey

(2018) Omer Sagi et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

A new nested ensemble technique for automated diagnosis of breast cancer

(2018) Moloud Abdar et al.   PATTERN RECOGNITION LETTERS

Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features

(2017) Tao Wan et al.   NEUROCOMPUTING

Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

(2016) Mitko Veta et al.   PLoS One

Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: A discussion and proposal for an alternative approach

(2015) Steve Halligan et al.   EUROPEAN RADIOLOGY

Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens

(2015) Joann G. Elmore et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Mitotic Count and the Field of View Area

(2015) D. J. Meuten et al.   VETERINARY PATHOLOGY

The prognostic relevance of the mitotic activity index in axillary lymph node-negative breast cancer

(2014) Jan J. Jobsen et al.   BREAST CANCER RESEARCH AND TREATMENT