[HTML][HTML] A multi-task deep learning method for detection of meniscal tears in MRI data from the osteoarthritis initiative database

A Tack, A Shestakov, D Lüdke… - Frontiers in Bioengineering …, 2021 - frontiersin.org
We present a novel and computationally efficient method for the detection of meniscal tears
in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional …

A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database

A Tack, A Shestakov, D Lüdke… - … After Meniscus Injury, 2022 - books.google.com
We present a novel and computationally efficient method for the detection of meniscal tears
in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional …

A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database.

A Tack, A Shestakov, D Lüdke… - … in Bioengineering and …, 2021 - europepmc.org
We present a novel and computationally efficient method for the detection of meniscal tears
in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional …

A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database

A Tack, A Shestakov, D Lüdke… - … in bioengineering and …, 2021 - pubmed.ncbi.nlm.nih.gov
We present a novel and computationally efficient method for the detection of meniscal tears
in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional …

[PDF][PDF] A deep multi-task learning method for detection of meniscal tears in MRI data from the Osteoarthritis Initiative database

A Tack, A Shestakov, D Lüdke, S Zachow - 2021 - opus4.kobv.de
We present a novel and computationally efficient method for the detection of meniscal tears
in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional …

[HTML][HTML] A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database

A Tack, A Shestakov, D Lüdke… - … in Bioengineering and …, 2021 - ncbi.nlm.nih.gov
We present a novel and computationally efficient method for the detection of meniscal tears
in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional …

[PDF][PDF] A deep multi-task learning method for detection of meniscal tears in MRI data from the Osteoarthritis Initiative database 3

A TACK, A SHESTAKOV, D LÜDKE, S ZACHOW - opus4.kobv.de
We present a novel and computationally efficient method for the detection of meniscal tears
in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional …