Results 281 to 290 of about 151,110 (308)

Intuitionistic Fuzzy Segmentation of Medical Images

IEEE Transactions on Biomedical Engineering, 2010
This paper proposes a novel and probably the first method, using Attanassov intuitionistic fuzzy set theory to segment blood vessels and also the blood cells in pathological images. This type of segmentation is very important in detecting different types of human diseases, e.g., an increase in the number of vessels may lead to cancer in prostates ...
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Sexual health among adolescent and young adult cancer survivors: A scoping review from the Children's Oncology Group Adolescent and Young Adult Oncology Discipline Committee

Ca-A Cancer Journal for Clinicians, 2021
Brooke Cherven, Sharon L Bober, Kristin M Bingen   +2 more
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Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
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nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee, Paul F Jaeger, Simon A A Kohl   +2 more
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Ultrafast machine vision with 2D material neural network image sensors

Nature, 2020
Lukas Mennel, Joanna Symonowicz, Stefan Wachter   +2 more
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Reinforced Medical Image Segmentation

2009
Farhang Sahba, Hamid Tizhoosh, Magdy Salama   +2 more
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Image-based profiling for drug discovery: due for a machine-learning upgrade?

Nature Reviews Drug Discovery, 2020
Srinivas Niranj Chandrasekaran, Hugo Ceulemans, Anne E Carpenter   +2 more
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Image-guided cancer surgery using near-infrared fluorescence

Nature Reviews Clinical Oncology, 2013
Alexander L Vahrmeijer, Joost R Van Der Vorst   +1 more
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Medical image segmentation: Quo Vadis

Computer Methods and Programs in Biomedicine, 2006
openaire   +2 more sources

A survey on deep learning in medical image analysis

Medical Image Analysis, 2017
Geert Js Litjens, Thijs Kooi, Babak Ehteshami Bejnordi   +2 more
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