Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma

Identification of Complex Mixtures for Raman Spectroscopy Using a Novel Scheme Based on a New Multi-Label Deep Neural Network

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A deep learning study on osteosarcoma detection from histological images

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Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study

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Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

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Deep model with Siamese network for viable and necrotic tumor regions assessment in osteosarcoma

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What scans we will read: imaging instrumentation trends in clinical oncology

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Progress and Future Trends in PET/CT and PET/MRI Molecular Imaging Approaches for Breast Cancer

(2020) Yue Ming et al.   Frontiers in Oncology

A Four-Pseudogene Classifier Identified by Machine Learning Serves as a Novel Prognostic Marker for Survival of Osteosarcoma

(2019) Feng Liu et al.   Genes

Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models

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Recent advances in convolutional neural networks

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An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Stacked Convolutional Denoising Auto-Encoders for Feature Representation

(2017) Bo Du et al.   IEEE Transactions on Cybernetics

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(2008) Leonard Fass   Molecular Oncology