MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

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Z
Zhang J., Li C., Kosov S., Grzegorzek M., Shirahama K., Jiang T., Sun C., Li Z., Li H.
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
Pattern Recognition, Elsevier, 115, 2021
Zhang J., Li C., Rahaman M.M., Yao Y., Ma P., Zhang J., Zhao X., Jiang T., Grzegorzek M.
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
Artificial Intelligence Review, Springer, 2021
K
Kosov S., Shirahama K., Li C., Grzegorzek M.
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
Pattern Recognition, 77, 248-261, 2018
A
Ai S., Li C., Li X., Jiang T., Grzegorzek M., Sun C., Rahaman M.M., Zhang J., Yao Y., Li H.
A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development
BioMed Research International, Hindawi, 2021

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