Abdulkerim Çapar

A multi-spectral myelin annotation tool for machine learning based myelin quantification

F1000Research

Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features

IEEE Journal of Biomedical and Health Informatics

A multi-spectral myelin annotation tool for machine learning based myelin quantification

F1000Research

A multi-spectral myelin annotation tool for machine learning based myelin quantification

F1000Research

A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability

Medical & Biological Engineering & Computing

Myelin detection in fluorescence microscopy images using machine learning

Journal of Neuroscience Methods

A multi-spectral myelin annotation tool for machine learning based myelin quantification

F1000Research

Metaphase finding with deep convolutional neural networks

Biomedical Signal Processing and Control

DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images

DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images

bioRxiv (Cold Spring Harbor Laboratory)

Segmentation of precursor lesions in cervical cancer using convolutional neural networks