Deep Convolutional Neural Network and Emotional Learning based Breast Cancer Detection using Digital Mammography

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Controller design for a fractional-order nonlinear glucose-insulin system using feedback linearization

(2020) Muhammad Waleed Khan et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

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

(2020) Noorul Wahab et al.   APPLIED SOFT COMPUTING

Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion

(2020) Kalpana George et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Sliding mode control for a fractional-order non-linear glucose-insulin system

(2020) Muhammad Waleed Khan et al.   IET Systems Biology

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

(2019) Li Shen et al.   Scientific Reports

A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms

(2018) Peng Shi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

(2015) Fernando Soares Sérvulo de Oliveira et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Mammographical mass detection and classification using Local Seed Region Growing–Spherical Wavelet Transform (LSRG–SWT) hybrid scheme

(2013) Pelin Görgel et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Hierarchical multi-label classification using local neural networks

(2013) Ricardo Cerri et al.   JOURNAL OF COMPUTER AND SYSTEM SCIENCES