Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks

Utility of Artificial Intelligence Tool as a Prospective Radiology Peer Reviewer — Detection of Unreported Intracranial Hemorrhage

(2020) Balaji Rao et al.   ACADEMIC RADIOLOGY

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

(2019) Noorul Wahab et al.   Microscopy

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models

(2019) Junghwan Cho et al.   JOURNAL OF DIGITAL IMAGING

Automated segmentation of haematoma and perihaematomal oedema in MRI of acute spontaneous intracerebral haemorrhage

(2019) Stefan Pszczolkowski et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network

(2019) Hai Ye et al.   EUROPEAN RADIOLOGY

Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans

(2019) Justin Ker et al.   SENSORS

Channel Splitting Network for Single MR Image Super-Resolution

(2019) Xiaole Zhao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

(2019) Weicheng Kuo et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Intracerebral Haemorrhage Segmentation in Non-Contrast CT

(2019) Ajay Patel et al.   Scientific Reports

Semi-automatic measurement of intracranial hemorrhage growth on non-contrast CT

(2019) Kevin J Chung et al.   International Journal of Stroke

Intensity population based unsupervised hemorrhage segmentation from brain CT images

(2018) Soumi Ray et al.   EXPERT SYSTEMS WITH APPLICATIONS

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT

(2018) P.D. Chang et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

(2018) Ahmed Hosny et al.   PLOS MEDICINE

An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets

(2018) Hyunkwang Lee et al.   Nature Biomedical Engineering

Gland segmentation in colon histology images: The glas challenge contest

(2017) Korsuk Sirinukunwattana et al.   MEDICAL IMAGE ANALYSIS

Automatic brain hemorrhage segmentation and classification algorithm based on weighted grayscale histogram feature in a hierarchical classification structure

(2016) Bahareh Shahangian et al.   Biocybernetics and Biomedical Engineering

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

An integrated method for hemorrhage segmentation from brain CT Imaging

(2013) H.S. Bhadauria et al.   COMPUTERS & ELECTRICAL ENGINEERING