4.6 Article

Radiomics for Gleason Score Detection through Deep Learning

Related references

Note: Only part of the references are listed.
Article Radiology, Nuclear Medicine & Medical Imaging

Formal methods for prostate cancer Gleason score and treatment prediction using radiomic biomarkers

Luca Brunese et al.

MAGNETIC RESONANCE IMAGING (2020)

Article Computer Science, Interdisciplinary Applications

An ensemble learning approach for brain cancer detection exploiting radiomic features

Luca Brunese et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Article Chemistry, Analytical

Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events

Maryam Abo-Tabik et al.

SENSORS (2020)

Proceedings Paper Computer Science, Artificial Intelligence

A 1D-CNN-Spectrogram Based Approach for Seizure Detection from EEG Signal

Gopal Chandra Jana et al.

INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)

Article Computer Science, Interdisciplinary Applications

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

Luca Brunese et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Article Biochemical Research Methods

Differentiating Prostate Cancer from Benign Prostatic Hyperplasia Using PSAD Based on Machine Learning: Single-Center Retrospective Study in China

Yi-Yan Zhang et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)

Article Computer Science, Information Systems

A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

Levent Eren et al.

JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (2019)

Article Computer Science, Artificial Intelligence

Random forest dissimilarity based multi-view learning for Radiomics application

Hongliu Cao et al.

PATTERN RECOGNITION (2019)

Article Multidisciplinary Sciences

Radiomics based likelihood functions for cancer diagnosis

Hina Shakir et al.

SCIENTIFIC REPORTS (2019)

Article Computer Science, Information Systems

Prostate Gleason Score Detection and Cancer Treatment Through Real-Time Formal Verification

Luca Brunese et al.

IEEE ACCESS (2019)

Article Health Care Sciences & Services

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Kunal Nagpal et al.

NPJ DIGITAL MEDICINE (2019)

Article Computer Science, Interdisciplinary Applications

Radiomics-based features for pattern recognition of lung cancer histopathology and metastases

Jose Raniery Ferreira Junior et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Review Mathematical & Computational Biology

Deep Learning for Computer Vision: A Brief Review

Athanasios Voulodimos et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)

Article Multidisciplinary Sciences

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Eirini Arvaniti et al.

SCIENTIFIC REPORTS (2018)

Article Oncology

Computational Radiomics System to Decode the Radiographic Phenotype

Joost J. M. van Griethuysen et al.

CANCER RESEARCH (2017)

Review Computer Science, Artificial Intelligence

Deep learning for visual understanding: A review

Yanming Guo et al.

NEUROCOMPUTING (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies et al.

RADIOLOGY (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

Farzad Khalvati et al.

BMC MEDICAL IMAGING (2015)

Article Multidisciplinary Sciences

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Hugo J. W. L. Aerts et al.

NATURE COMMUNICATIONS (2014)

Article Computer Science, Interdisciplinary Applications

Multifeature prostate cancer diagnosis and Gleason grading of histological images

Ali Tabesh et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2007)