Voice of EPOS

VoE 091 - Artificial Intelligence and Machine Learning

Lectures

1
VoE 091 - Predicting malignancy of breast lesions seen in CT using Textural Analysis and Machine Learning

VoE 091 - Predicting malignancy of breast lesions seen in CT using Textural Analysis and Machine Learning

04:18M. Alkubeyyer, Riyadh / SA

https://epos.myesr.org/poster/esr/ecr2020/C-14762

2
VoE 091 - Virtual Thin-Slice Technique using Neural Networks for the Morphological Evaluation of the Spine

VoE 091 - Virtual Thin-Slice Technique using Neural Networks for the Morphological Evaluation of the Spine

05:01A. Nakamoto, Takatsuki / JP

https://epos.myesr.org/poster/esr/ecr2020/C-04471

3
VoE 091 - Radiomics of cholangiocarcinoma on pretreatment-CT can identify patients who would best respond to radioembolisation

VoE 091 - Radiomics of cholangiocarcinoma on pretreatment-CT can identify patients who would best respond to radioembolisation

04:50A. Bruno, Bologna / IT

https://epos.myesr.org/poster/esr/ecr2020/C-06273

4
VoE 091 - Radiologists in the regulation of the responsibilities of artificial intelligence applied to radiodiagnosis: Let's make it real.

VoE 091 - Radiologists in the regulation of the responsibilities of artificial intelligence applied to radiodiagnosis: Let's make it real.

04:56P. Sanz Bellón, Santander / ES

https://epos.myesr.org/poster/esr/ecr2020/C-08440

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