medical image processing

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1
Improving the Otsu method for MRA image vessel extraction via resampling and ensemble learning.
Chang, Yuchou;
2019 healthcare technology letters DOI: 10.1049/htl.2018.503... 265 views
2
Machine learning approach of automatic identification and counting of blood cells.
Alam, Mohammad Mahmudul;Islam, Mohammad Tariqul;
2019 healthcare technology letters DOI: 10.1049/htl.2018.509... 269 views
3
SITbench 1.0: A Novel Switch-Based Interaction Technique Benchmark.
Esiyok, Cagdas;Albayrak, Sahin;
2019 journal of healthcare engineering DOI: 10.1155/2019/5075163 336 views
4
Improvement of the Bonding Properties of Mineral Trioxide Aggregate by Elastin-Like Polypeptide Supplementation.
Kim, Hyun-Jung;Lee, Donghyun;Cho, Seungryong;Jang, Ji-Hyun;Kim, Sahng Gyoon;Kim, Sun-Young;
2019 scanning DOI: 10.1155/2019/3484396 311 views
5
Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset.
Itoh, Hayato;Roth, Holger;Oda, Masahiro;Misawa, Masashi;Mori, Yuichi;Kudo, Shin-Ei;Mori, Kensaku;
2019 healthcare technology letters DOI: 10.1049/htl.2019.007... 265 views

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image classification medical images mra image vessel extraction biomedical mri blood vessels ensemble learning extracting vessels image sampling learning (artificial intelligence) magnetic resonance angiography image nonvessel tissue p-tile algorithm resampling learning surgical planning traditional otsu method counting blood object detection automatic identification blood cells detection