Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI
Pierre Elnajjar
ArXiv, 2020
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Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans
Pierre Elnajjar
Radiology: Artificial Intelligence, 2022
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Deep Learning Based Segmentation of Breast Lesions in DCE-MRI
Joel Vidal
Pattern Recognition. ICPR International Workshops and Challenges, 2021
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Deep Learning Segmentation of Triple-Negative Breast Cancer (TNBC) Patient Derived Tumor Xenograft (PDX) and Sensitivity of Radiomic Pipeline to Tumor Probability Boundary
Timothy Whitehead
Cancers
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Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI
Masoomeh Rahimpour
European Radiology, 2022
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Multicriteria Evaluation of Deep Neural Networks for Semantic Segmentation of Mammographies
Oscar Montiel
Axioms
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Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
Andrey Golanov
IEEE Journal of Biomedical and Health Informatics, 2022
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A Full-Image Deep Segmenter for CT Images in Breast Cancer Radiotherapy Treatment
Francesca Attanasi
Frontiers in Oncology
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Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
Jiyon Lee
IEEE Transactions on Medical Imaging
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Connected-UNets: a deep learning architecture for breast mass segmentation
Bego garcia
npj Breast Cancer, 2021
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A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation
Maria Casals
Computer Methods and Programs in Biomedicine, 2020
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Deep Learning for Breast Cancer Diagnosis from Mammograms—A Comparative Study
Ioannis Pratikakis
Journal of Imaging
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Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Konstantinos Kamnitsas
Journal of Medical Imaging, 2020
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Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation
Andrey Golanov
2019
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Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
Mohammad Ottom
IEEE Journal of Translational Engineering in Health and Medicine
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Convolutional neural network for automated mass segmentation in mammography
Dina Abdelhafiz
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Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study
Maria Bernathova
European Radiology Experimental
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Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?
Patryk Hejduk
Diagnostics, 2022
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DeepLIMa: Deep Learning Based Lesion Identification in Mammograms
xiaoyan zhuo
2019
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Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks
Gabriele Piantadosi
Artificial Intelligence in Medicine, 2019
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Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
Giorgia Grisot
Nature Medicine, 2021
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Mammogram Classification and Segmentation Through Deep Learning
Jacinto Nascimento
2021
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Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework
Fang-Rong Hsu
Biomedicines
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Fully Automated Breast Density Segmentation and Classification Using Deep Learning
Domenec Puig
Diagnostics, 2020
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Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data
Andrey Golanov
Studies in Health Technology and Informatics
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Deep Learning: An Update for Radiologists
Emmanuel Montagnon
RadioGraphics
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Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review
Masroor Ahmed
BMC Bioinformatics
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Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms
Kyung Hee University
Computer Methods and Programs in Biomedicine, 2020
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Versatile Convolutional Networks Applied to Computed Tomography and Magnetic Resonance Image Segmentation
Gonçalo Almeida
Journal of Medical Systems
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Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks
Ferdinand Hui
Journal of Digital Imaging, 2019
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A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI
Nikola Kasabov, Professor
Neural Information Processing
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A Feasibility study for Deep Learning Based Automated Brain Tumor Segmentation using Magnetic Resonance Images
JOURNAL OF RESEARCH TECHNOLOGY AND ENGINEERING
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Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
Aniruddha Pant
2021 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), 2021
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Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks
Hatem A . Rashwan
arXiv (Cornell University), 2018
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